Triple
T1875742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Spain |
E39138
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Diego Martin
Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
|
E212882
|
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: Diego Martin | Statement: [Port of Spain, nearbyTown, Diego Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diego Martin Context triple: [Port of Spain, nearbyTown, Diego Martin]
-
A.
Maracay
Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
-
B.
Camagüey
Camagüey is one of Cuba’s largest and oldest cities, known for its colonial architecture, maze-like historic center, and status as a key cultural and economic hub in the country’s interior.
-
C.
Baracoa
Baracoa is a historic coastal city in eastern Cuba, known as the island’s oldest Spanish settlement and for its lush tropical landscape and cocoa production.
-
D.
Pinar del Río
Pinar del Río is a city in western Cuba known for its tobacco production and as a gateway to the Viñales Valley.
-
E.
Bayamo
Bayamo is one of Cuba’s oldest colonial cities, historically significant as an early Spanish settlement and a center of Cuban independence sentiment.
- 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: Diego Martin Triple: [Port of Spain, nearbyTown, Diego Martin]
Generated description
Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diego Martin Target entity description: Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
-
A.
Maracay
Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
-
B.
Camagüey
Camagüey is one of Cuba’s largest and oldest cities, known for its colonial architecture, maze-like historic center, and status as a key cultural and economic hub in the country’s interior.
-
C.
Baracoa
Baracoa is a historic coastal city in eastern Cuba, known as the island’s oldest Spanish settlement and for its lush tropical landscape and cocoa production.
-
D.
Pinar del Río
Pinar del Río is a city in western Cuba known for its tobacco production and as a gateway to the Viñales Valley.
-
E.
Bayamo
Bayamo is one of Cuba’s oldest colonial cities, historically significant as an early Spanish settlement and a center of Cuban independence sentiment.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d902ac8190a2d9bb6f683986e4 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae228008190a0d427c74fd37511 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adebd146408190b80a7d8e8974a90d |
completed | March 8, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec551c688190a0bcdc16ab6e3ecc |
completed | March 8, 2026, 9:38 p.m. |
Created at: March 4, 2026, 7:34 p.m.