Triple
T8571628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Sea Ports Organisation |
E202938
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ESPO
ESPO is the European Sea Ports Organisation, a representative body that advocates for the interests of seaports and port authorities across Europe.
|
E744132
|
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: ESPO | Statement: [European Sea Ports Organisation, abbreviation, ESPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESPO Context triple: [European Sea Ports Organisation, abbreviation, ESPO]
-
A.
EXPE
EXPE is the stock ticker symbol for Expedia Group, a major American online travel company that operates brands like Expedia.com, Hotels.com, and Vrbo.
-
B.
Esposende
Esposende is a coastal city and municipality in northern Portugal, known for its Atlantic beaches, natural parks, and traditional fishing heritage.
-
C.
ESGP
ESGP is the ICAO airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
-
D.
Esperih
Esperih is another name for Asparuh of Bulgaria, the 7th-century Bulgar ruler who founded the First Bulgarian Empire in the Balkans.
-
E.
Sospel
Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
- 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: ESPO Triple: [European Sea Ports Organisation, abbreviation, ESPO]
Generated description
ESPO is the European Sea Ports Organisation, a representative body that advocates for the interests of seaports and port authorities across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESPO Target entity description: ESPO is the European Sea Ports Organisation, a representative body that advocates for the interests of seaports and port authorities across Europe.
-
A.
EXPE
EXPE is the stock ticker symbol for Expedia Group, a major American online travel company that operates brands like Expedia.com, Hotels.com, and Vrbo.
-
B.
Esposende
Esposende is a coastal city and municipality in northern Portugal, known for its Atlantic beaches, natural parks, and traditional fishing heritage.
-
C.
ESGP
ESGP is the ICAO airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
-
D.
Esperih
Esperih is another name for Asparuh of Bulgaria, the 7th-century Bulgar ruler who founded the First Bulgarian Empire in the Balkans.
-
E.
Sospel
Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4223888190a56d9026ae0b9ec0 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8983bd3c819094457b5160bc928d |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8ac1dba48190bbad47a762130aab |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8eae70008190b2c7bbe4ce8d4c0a |
completed | April 2, 2026, 3:43 p.m. |
Created at: March 30, 2026, 6:21 p.m.