Triple
T7495776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chacabuco Province |
E177123
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object | Colina |
E162470
|
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: Colina | Statement: [Chacabuco Province, containsCommune, Colina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colina Context triple: [Chacabuco Province, containsCommune, Colina]
-
A.
Colina
chosen
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
-
B.
Chivay
Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
-
C.
Chepica
Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
-
D.
Huacho
Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
-
E.
Chanco
Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84eefbcec8190bef282452aaf5515 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:43 p.m.