Triple
T3829434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huacho |
E88773
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Huaura Province |
E444131
|
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: Huaura Province | Statement: [Huacho, partOf, Huaura Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huaura Province Context triple: [Huacho, partOf, Huaura Province]
-
A.
Huaura Province
chosen
Huaura Province is an administrative division in the Lima Region of Peru, known for its coastal location and agricultural and fishing activities.
-
B.
Parinacota Province
Parinacota Province is a sparsely populated, high-altitude province in far northern Chile, known for its Andean landscapes, volcanoes, and proximity to the borders with Peru and Bolivia.
-
C.
Loayza Province
Loayza Province is an administrative province located within Bolivia’s La Paz Department, known for its rural communities and Andean landscapes.
-
D.
Huasco Province
Huasco Province is an administrative division in northern Chile known for its mining activities, agriculture, and coastal desert landscapes within the Atacama Region.
-
E.
Orellana Province
Orellana Province is an Amazonian region in northeastern Ecuador known for its vast tropical rainforests, rich biodiversity, and significant oil reserves.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb683c2081908ffa6e759a3470fe |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f1304b481909715c263a743581d |
completed | March 15, 2026, 7:26 a.m. |
Created at: March 9, 2026, 3:17 p.m.