Triple
T851670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biobío Region |
E18398
|
entity |
| Predicate | hasCoastalCity |
P969
|
FINISHED |
| Object | Arauco |
E107568
|
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: Arauco | Statement: [Biobío Region, hasCoastalCity, Arauco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arauco Context triple: [Biobío Region, hasCoastalCity, Arauco]
-
A.
Arauco
chosen
Arauco is a coastal city and commune in Chile known for its forestry industry and location within the Biobío Region.
-
B.
Andacollo
Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
-
C.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
D.
Pudahuel
Pudahuel is a commune in the Santiago Metropolitan Region of Chile, known for hosting the country’s main international airport and forming part of the greater Santiago urban area.
-
E.
Quirihue
Quirihue is a small city in central Chile that serves as the capital of the Itata Province in the Ñuble Region.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac22de288190913714d41e5a8e12 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf53ee748190b5a08bd7a6d0614c |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:38 p.m.