Triple
T14897256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumaná Province |
E359908
|
entity |
| Predicate | centralCity |
P3940
|
FINISHED |
| Object | Cumaná |
E135297
|
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: Cumaná | Statement: [Cumaná Province, centralCity, Cumaná]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cumaná Context triple: [Cumaná Province, centralCity, Cumaná]
-
A.
Cumaná
chosen
Cumaná is a historic coastal city in northeastern Venezuela, recognized as one of the oldest continuously inhabited European-founded settlements in the Americas.
-
B.
Tacuarembó
Tacuarembó is a city in northern Uruguay that serves as the capital of Tacuarembó Department and a regional center for culture, education, and services.
-
C.
Guaratiba
Guaratiba is a coastal neighborhood in the western part of Rio de Janeiro known for its mangrove ecosystems, beaches, and relatively preserved natural areas.
-
D.
Paysandú
Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
-
E.
Santa Cruz de la Sierra
Santa Cruz de la Sierra is Bolivia’s largest and most populous city, a major economic hub in the country’s eastern lowlands known for its rapid growth and vibrant commercial activity.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bcf32a48190b1f036016f2689b7 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:11 a.m.