Triple
T37753524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BP Texas City Refinery |
E941046
|
entity |
| Predicate | hasSafetyIssues |
P114170
|
FINISHED |
| Object | process safety management failures |
—
|
LITERAL 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: process safety management failures | Statement: [BP Texas City Refinery, hasSafetyIssues, process safety management failures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyIssues Context triple: [BP Texas City Refinery, hasSafetyIssues, process safety management failures]
-
A.
safetyIssueHighlighted
Indicates that a particular safety concern or hazard has been identified and explicitly brought to attention.
-
B.
hasIssueWith
chosen
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
C.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
D.
hasOngoingIssues
Indicates that an entity is currently experiencing unresolved or continuing problems or difficulties.
-
E.
hasSafetyInformation
Indicates that one entity provides or is associated with safety-related details, warnings, or guidelines about another entity.
- F. None of above.
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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:19 p.m.