Triple
T9526726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silt'e language |
E229776
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Siltigna
Siltigna is an Ethio-Semitic language spoken primarily by the Silt'e people in central Ethiopia.
|
E806193
|
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: Siltigna | Statement: [Silt'e language, hasAlternativeName, Siltigna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siltigna Context triple: [Silt'e language, hasAlternativeName, Siltigna]
-
A.
Dunira
Dunira is a historic Scottish country estate notable for its 19th-century architecture and landscaped grounds.
-
B.
Sistiana
Sistiana is a coastal village in northeastern Italy’s Friuli-Venezia Giulia region, known for its scenic bay on the Adriatic Sea and proximity to the historic Duino Castle.
-
C.
Sutsilvan
Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
-
D.
Novilara
Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
-
E.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
- 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: Siltigna Triple: [Silt'e language, hasAlternativeName, Siltigna]
Generated description
Siltigna is an Ethio-Semitic language spoken primarily by the Silt'e people in central Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siltigna Target entity description: Siltigna is an Ethio-Semitic language spoken primarily by the Silt'e people in central Ethiopia.
-
A.
Dunira
Dunira is a historic Scottish country estate notable for its 19th-century architecture and landscaped grounds.
-
B.
Sistiana
Sistiana is a coastal village in northeastern Italy’s Friuli-Venezia Giulia region, known for its scenic bay on the Adriatic Sea and proximity to the historic Duino Castle.
-
C.
Sutsilvan
Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
-
D.
Novilara
Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
-
E.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c2710b481909a13d946f6dd5b2d |
completed | April 4, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69d14e49c97481909a1bab1b4d482194 |
completed | April 4, 2026, 5:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14ee1fcdc8190bf23a3af97f0ba39 |
completed | April 4, 2026, 5:48 p.m. |
Created at: March 30, 2026, 8 p.m.