Triple
T4809269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Condes |
E107025
|
entity |
| Predicate | borders |
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: [Las Condes, borders, Lo Barnechea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lo Barnechea Context triple: [Las Condes, borders, 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.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c6c70a88190aa287fc78716c225 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67cb1fe48190821c1daf930a70ff |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:23 p.m.