Triple
T2862785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texaco |
E63363
|
entity |
| Predicate | mergedWith |
P77
|
FINISHED |
| Object | Chevron |
E79846
|
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: Chevron | Statement: [Texaco, mergedWith, Chevron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chevron Context triple: [Texaco, mergedWith, Chevron]
-
A.
Chevron Corporation
chosen
Chevron Corporation is one of the world’s largest integrated oil and gas companies, involved in exploration, production, refining, and marketing of petroleum and related energy products globally.
-
B.
ConocoPhillips
ConocoPhillips is a major American multinational energy corporation primarily engaged in the exploration, production, transportation, and marketing of crude oil, natural gas, and related products worldwide.
-
C.
Exxon
Exxon is a major American multinational oil and gas corporation known for its global energy production, refining, and petrochemical operations.
-
D.
Halliburton
Halliburton is a major American multinational corporation that provides products and services to the oil and gas industry worldwide.
-
E.
Texaco
Texaco is a major American oil company known for its gasoline brand and extensive global petroleum operations.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb6e6988190b832ee05d8420633 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0314baa408190b1b398dcfaa29c53 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:02 p.m.