Triple
T10094735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escondida |
E215835
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | BHP |
E841288
|
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: BHP | Statement: [Escondida, operator, BHP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BHP Context triple: [Escondida, operator, BHP]
-
A.
BHP
chosen
BHP is a major global mining and resources company headquartered in Australia, known for producing commodities such as iron ore, copper, coal, and nickel.
-
B.
BHP
BHP is the station code for Bolpur Shantiniketan railway station, a key rail hub serving the cultural and educational town of Shantiniketan in West Bengal, India.
-
C.
BHR
BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
-
D.
BHW
BHW is the acronym for the Bureau of Health Workforce, a U.S. federal agency that supports and strengthens the health workforce to improve access to care in underserved communities.
-
E.
BH
BH is the vehicle registration code assigned to motor vehicles registered in Bhola District, Bangladesh.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0784c288190967d143beca32c4b |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbe40d088190838819eac97c61e4 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9:01 p.m.