Triple
T1263829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago Metropolitan Region |
E12558
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ñuñoa |
E65251
|
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: Ñuñoa | Statement: [Santiago Metropolitan Region, contains, Ñuñoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ñuñoa Context triple: [Santiago Metropolitan Region, contains, Ñuñoa]
-
A.
Ñuñoa
chosen
Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
-
B.
Antofagasta de la Sierra
Antofagasta de la Sierra is a remote high-altitude town in northwestern Argentina known for its volcanic landscapes, salt flats, and Andean culture.
-
C.
Chorrillos
Chorrillos is a coastal district in southern Lima, Peru, known for its beaches, fishing heritage, and role as a popular seaside resort area.
-
D.
La Calera
La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
-
E.
Huacho
Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc8d6908190a5b2cf1051cc6d5e |
completed | March 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd470b044819087e0adfd137ff037 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:50 p.m.