Triple
T4462944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linares |
E98299
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Linares Province |
E98300
|
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: Linares Province | Statement: [Linares, partOf, Linares Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linares Province Context triple: [Linares, partOf, Linares Province]
-
A.
Linares Province
chosen
Linares Province is an administrative division in central Chile known for its agricultural production and location within the Maule Region.
-
B.
Dos de Mayo Province
Dos de Mayo Province is an administrative province located in central Peru, within the Andean highlands of the Huánuco Region.
-
C.
San Román Province
San Román Province is an administrative division in southern Peru known for its capital city Juliaca, a major commercial and transport hub in the Andean highlands.
-
D.
Espinar Province
Espinar Province is an administrative province in southern Peru known for its high Andean geography, mining activities, and location within the Cusco Region.
-
E.
Castrovirreyna Province
Castrovirreyna Province is an administrative province in the central highlands of Peru, known for its mountainous Andean terrain and 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567716a4819092a5bc9732e74592 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6376c8e74819087aa2ff3e4429674 |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:34 p.m.