Triple
T15824471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitacura |
E383700
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Lo Barnechea |
E394111
|
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: Lo Barnechea | Statement: [Vitacura, borderedBy, Lo Barnechea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lo Barnechea Context triple: [Vitacura, borderedBy, Lo Barnechea]
-
A.
Lo Barnechea
chosen
Lo Barnechea is an affluent residential and commercial commune located in the northeastern sector of Santiago, Chile, known for its mountainous terrain and high quality of life.
-
B.
Villamaría
Villamaría is a Colombian town and municipality located in the Andean region of the country, known for its coffee-growing landscapes and proximity to the city of Manizales.
-
C.
Puerto Aysén
Puerto Aysén is a small port city in Chilean Patagonia that serves as a key gateway to the fjords, glaciers, and national parks of the Aysén Region.
-
D.
Vallenar
Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
-
E.
Conchalí
Conchalí is a predominantly residential commune and district in the northern part of Santiago, Chile, known for its working-class neighborhoods and urban character.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e5f46748190acb46cc482501307 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999bba548190a39adc2d0e11c605 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.