Triple
T8940282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego Martin |
E212882
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
St. Lucien
St. Lucien is a residential neighborhood located within the Diego Martin region of Trinidad and Tobago.
|
E770875
|
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: St. Lucien | Statement: [Diego Martin, hasNeighbourhood, St. Lucien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Lucien Context triple: [Diego Martin, hasNeighbourhood, St. Lucien]
-
A.
Gustavia
Gustavia is the main town and administrative center of the Caribbean island of Saint Barthélemy, known for its picturesque harbor, upscale boutiques, and French colonial charm.
-
B.
Mauritius
Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
-
C.
Saint Lucia
Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
-
D.
Seychelles
Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
-
E.
Saint Barthélemy
Saint Barthélemy is a small French Caribbean island known for its luxury tourism, upscale resorts, and status as an overseas collectivity of France.
- 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: St. Lucien Triple: [Diego Martin, hasNeighbourhood, St. Lucien]
Generated description
St. Lucien is a residential neighborhood located within the Diego Martin region of Trinidad and Tobago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. Lucien Target entity description: St. Lucien is a residential neighborhood located within the Diego Martin region of Trinidad and Tobago.
-
A.
Gustavia
Gustavia is the main town and administrative center of the Caribbean island of Saint Barthélemy, known for its picturesque harbor, upscale boutiques, and French colonial charm.
-
B.
Mauritius
Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
-
C.
Saint Lucia
Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
-
D.
Seychelles
Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
-
E.
Saint Barthélemy
Saint Barthélemy is a small French Caribbean island known for its luxury tourism, upscale resorts, and status as an overseas collectivity of France.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b8b37c8190bce6e049de8cf732 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd099b2f48190b81d6747bad4b992 |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd193fdbc8190b49192327f698943 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd242590881909ca351c1040c76ef |
completed | April 3, 2026, 2:44 p.m. |
Created at: March 30, 2026, 6:58 p.m.