Triple
T15271007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monagas |
E365019
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Anzoátegui |
E993346
|
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: Anzoátegui | Statement: [Monagas, borders, Anzoátegui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anzoátegui Context triple: [Monagas, borders, Anzoátegui]
-
A.
Anzoátegui
chosen
Anzoátegui is a northeastern Venezuelan state known for its Caribbean coastline, oil industry, and diverse landscapes ranging from coastal plains to mountainous areas.
-
B.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
C.
Moxos Province
Moxos Province is an administrative division in Bolivia’s Beni Department, known for its Amazonian lowlands, indigenous Moxeño culture, and towns such as San Ignacio de Moxos.
-
D.
Naguanagua
Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
-
E.
Orellana Province
Orellana Province is an Amazonian region in northeastern Ecuador known for its vast tropical rainforests, rich biodiversity, and significant oil reserves.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094eac848190a1740ae1aa6b28e0 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e092408190aec1561e78ea0acb |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:14 a.m.