Triple
T6655038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huasco River |
E150918
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Huasco (town) |
E532914
|
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: Huasco (town) | Statement: [Huasco River, hasMouthNear, Huasco (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huasco (town) Context triple: [Huasco River, hasMouthNear, Huasco (town)]
-
A.
Huasco commune
chosen
Huasco commune is an administrative division in Chile’s Atacama Region, known for its coastal location along the Pacific Ocean and its role in regional mining and agriculture.
-
B.
Hualpén
Hualpén is a coastal city and commune in Chile’s Biobío Region, known for its industrial activity, residential areas, and proximity to the metropolitan area of Concepción.
-
C.
Calama
Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
-
D.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
E.
Pichilemu
Pichilemu is a coastal Chilean city renowned as a major surfing destination and seaside resort on the Pacific Ocean.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b049958c8190bb3ef0d4c281825b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eefffdfc8190bc191606bdb481a5 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.