Triple
T1618152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copiapó |
E34766
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Tierra Amarilla |
E122973
|
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: Tierra Amarilla | Statement: [Copiapó, nearbySettlement, Tierra Amarilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tierra Amarilla Context triple: [Copiapó, nearbySettlement, Tierra Amarilla]
-
A.
Tierra Amarilla
chosen
Tierra Amarilla is a small mining-oriented town and commune in northern Chile’s Atacama Desert, known for its copper and gold production.
-
B.
Durango
Durango is a state in north-central Mexico known for its rugged mountainous terrain, significant mining history, and role as a setting for classic Western films.
-
C.
Alamosa, Colorado
Alamosa, Colorado is a small city in the San Luis Valley known as a regional hub for southern Colorado and a gateway to Great Sand Dunes National Park.
-
D.
Chaco Province
Chaco Province is an administrative region in northeastern Argentina known for its vast plains, subtropical climate, and significant indigenous and rural populations.
-
E.
Acaponeta
Acaponeta is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and location near the Acaponeta River.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909addb348190a80a97422efcaa63 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb93ea5481908f21378715bab13d |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:28 p.m.