Triple
T11829772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warao language |
E281355
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Sucre State |
E128838
|
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: Sucre State | Statement: [Warao language, region, Sucre State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sucre State Context triple: [Warao language, region, Sucre State]
-
A.
Sucre State
chosen
Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
-
B.
Lara State
Lara State is a federal state in northwestern Venezuela known for its capital Barquisimeto, a major cultural and economic center.
-
C.
Sucre Department
Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
-
D.
Apure State
Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
-
E.
San Cristobal Province
San Cristobal Province is the former name of Makira-Ulawa Province, an island province in the Solomon Islands known for its rich biodiversity and predominantly rural communities.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62b75dc8190b27d24e46a262a11 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1672e736481909ba5f867cb840039 |
completed | April 29, 2026, 2:04 a.m. |
Created at: April 8, 2026, 9:43 p.m.