Triple
T4713237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villarrica Lake |
E104566
|
entity |
| Predicate | hasTownOnShore |
P969
|
FINISHED |
| Object | Coñaripe |
E25190
|
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: Coñaripe | Statement: [Villarrica Lake, hasTownOnShore, Coñaripe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coñaripe Context triple: [Villarrica Lake, hasTownOnShore, Coñaripe]
-
A.
Borba
Borba is a town and municipality in Portugal’s Alentejo region, noted for its wine production and marble quarries.
-
B.
Combarbalá
chosen
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
C.
Boca de Guamá
Boca de Guamá is a small tourist-oriented village in Cuba known for its reconstructed Taíno village, canals, and access to the natural attractions of the Zapata Peninsula.
-
D.
Gualaquiza
Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
-
E.
Ouahigouya
Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64064c548190bcaa975bd81cd0d5 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be107c3ca48190b93d3f66cc15449e |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.