Triple
T9282650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of San-Pédro |
E223105
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | San-Pédro |
E223105
|
NE FINISHED |
How this triple was built (2 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: San-Pédro | Statement: [Port of San-Pédro, locatedIn, San-Pédro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San-Pédro Context triple: [Port of San-Pédro, locatedIn, San-Pédro]
-
A.
San-Pédro
chosen
San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
-
B.
Santa Isabel de Fernando Poo
Santa Isabel de Fernando Poo was the former colonial name of the city now known as Malabo, the capital of Equatorial Guinea on the island of Bioko.
-
C.
Saint-Paul
Saint-Paul is a commune on the French island of Réunion in the Indian Ocean, known for its coastal landscapes and role as one of the island’s major urban centers.
-
D.
Saint-Marc
Saint-Marc is a coastal city in western Haiti that serves as an important commercial and maritime hub on the Gulf of Gonâve.
-
E.
São Sebastião
São Sebastião is a coastal municipality in the state of São Paulo, Brazil, known for its beaches, tourism, and role as a port city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081d60a88190b49b040d0e7415bf |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2134d408190b21c7dc642549fe4 |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:34 p.m.