Triple
T10094786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Escondida copper mine |
E215836
|
entity |
| Predicate | shareholder |
P1553
|
FINISHED |
| Object | JECO |
E841289
|
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: JECO | Statement: [La Escondida copper mine, shareholder, JECO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JECO Context triple: [La Escondida copper mine, shareholder, JECO]
-
A.
JECO
chosen
JECO is a Japanese consortium that holds an ownership stake in Chile’s Escondida copper mine.
-
B.
JEC
JEC is a bipartisan U.S. congressional committee that analyzes economic conditions and advises Congress on economic policy.
-
C.
JEK
JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
-
D.
JIC
JIC is the commonly used abbreviation for the United Kingdom’s Joint Intelligence Committee, the senior body responsible for overseeing and coordinating national intelligence assessments.
-
E.
CECO
CECO is the stock ticker symbol for Career Education Corporation, a U.S.-based provider of postsecondary education and career-focused training programs.
- 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_69d3174109988190b703bb5b7c89c5c2 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:01 p.m.