Triple
T12590175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera de la Costa Central |
E300581
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Maracay |
E174040
|
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: Maracay | Statement: [Cordillera de la Costa Central, nearbyCity, Maracay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maracay Context triple: [Cordillera de la Costa Central, nearbyCity, Maracay]
-
A.
Maracay
chosen
Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
-
B.
Barquisimeto
Barquisimeto is a major city in western Venezuela known as a commercial and cultural center, often called the "Musical City" for its rich musical traditions.
-
C.
Diego Martin
Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
-
D.
Puerto Cabello
Puerto Cabello is a major port city on Venezuela’s Caribbean coast, historically important for trade and naval activity.
-
E.
Puerto Plata
Puerto Plata is a historic coastal city in the Dominican Republic known for its significant Afro-Dominican population, tourism, and role as a major port on the Atlantic coast.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec0a60c8190948706e8b2fcc0ad |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:07 p.m.