Triple
T35288252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Oil |
E1019149
|
entity |
| Predicate | historicalRole |
P22
|
FINISHED |
| Object | significant independent oil company prior to consolidation into Chevron |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: significant independent oil company prior to consolidation into Chevron | Statement: [Union Oil, historicalRole, significant independent oil company prior to consolidation into Chevron]
Provenance (2 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fe5af80819097ed9c015c3864fb |
completed | May 3, 2026, 6:11 p.m. |
Created at: May 3, 2026, 4:03 p.m.