Triple
T5477633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thessaloniki International Fair |
E123394
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
TIF
TIF is a major annual international trade fair held in Thessaloniki, Greece, showcasing products, services, and innovations from domestic and global exhibitors.
|
E523022
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TIF | Statement: [Thessaloniki International Fair, alsoKnownAs, TIF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIF Context triple: [Thessaloniki International Fair, alsoKnownAs, TIF]
-
A.
TIF
TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
-
B.
Tiff
Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
-
C.
TIFF
TIFF is the non-profit cultural organization that runs the Toronto International Film Festival and related year-round film programs and events.
-
D.
TIFF
TIFF (Tagged Image File Format) is a flexible, high-quality raster image format commonly used for storing detailed graphics and photographs, especially in professional imaging and printing workflows.
-
E.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TIF Triple: [Thessaloniki International Fair, alsoKnownAs, TIF]
Generated description
TIF is a major annual international trade fair held in Thessaloniki, Greece, showcasing products, services, and innovations from domestic and global exhibitors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TIF Target entity description: TIF is a major annual international trade fair held in Thessaloniki, Greece, showcasing products, services, and innovations from domestic and global exhibitors.
-
A.
TIF
TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
-
B.
Tiff
Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
-
C.
TIFF
TIFF is the non-profit cultural organization that runs the Toronto International Film Festival and related year-round film programs and events.
-
D.
TIFF
TIFF (Tagged Image File Format) is a flexible, high-quality raster image format commonly used for storing detailed graphics and photographs, especially in professional imaging and printing workflows.
-
E.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd92460f008190bf9d64ddd9c507a7 |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf489d7f94819095af2fe23a0b35b9 |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf49e10e588190bd5073142202f8fd |
completed | March 22, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4ad191b881909f4b271deb335586 |
completed | March 22, 2026, 1:50 a.m. |
Created at: March 20, 2026, 2:09 p.m.