Triple
T9171847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arturo Prat Province |
E220098
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Pozo Almonte |
E178278
|
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: Pozo Almonte | Statement: [Arturo Prat Province, seat, Pozo Almonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pozo Almonte Context triple: [Arturo Prat Province, seat, Pozo Almonte]
-
A.
Pozo Almonte
chosen
Pozo Almonte is a small town and commune in northern Chile known as an administrative and service center in the arid Tarapacá desert region.
-
B.
Caviahue
Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
-
C.
Alto de las Piedras
Alto de las Piedras is an archaeological site in Colombia known for its pre-Columbian stone statues and tombs associated with the ancient San Agustín culture.
-
D.
Puerto Gaitán
Puerto Gaitán is a Colombian town and municipality known for its oil production, cattle ranching, and location in the eastern plains (Llanos) region.
-
E.
Cutral Có
Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065cd42f481909ad3c68372041b1a |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:22 p.m.