Triple
T12601587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cepsa |
E300869
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Cepsa Química |
E300869
|
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: Cepsa Química | Statement: [Cepsa, hasSubsidiary, Cepsa Química]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cepsa Química Context triple: [Cepsa, hasSubsidiary, Cepsa Química]
-
A.
Cepsa
chosen
Cepsa is a Spanish integrated energy and petrochemical company involved in oil and gas exploration, refining, and the production of chemical products.
-
B.
Alianza Petrolera
Alianza Petrolera is a professional Colombian football club that competes in the country’s top division, Categoría Primera A.
-
C.
Ineos
Ineos is a large multinational chemicals and energy company based in the United Kingdom, known for its extensive portfolio of petrochemical, oil, gas, and manufacturing operations worldwide.
-
D.
BASF
BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
-
E.
National Petrochemical Company
The National Petrochemical Company is Iran’s state-owned petrochemical enterprise responsible for developing, operating, and expanding the country’s petrochemical industry and related exports.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec92c6c8190bd2d193e70940407 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:09 p.m.