Triple
T14986596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliso Canyon Oil Field |
E373717
|
entity |
| Predicate | safetyMeasuresAfterLeak |
P33946
|
FINISHED |
| Object | enhanced well integrity testing |
—
|
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: enhanced well integrity testing | Statement: [Aliso Canyon Oil Field, safetyMeasuresAfterLeak, enhanced well integrity testing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyMeasuresAfterLeak Context triple: [Aliso Canyon Oil Field, safetyMeasuresAfterLeak, enhanced well integrity testing]
-
A.
protectionMeasures
Indicates actions or safeguards implemented to prevent harm, damage, or risk to someone or something.
-
B.
safetyChangesImplemented
chosen
Indicates that specific safety-related modifications or measures have been put into effect.
-
C.
safeguardingMeasuresInclude
Indicates that certain specific protective or security measures are contained within, or form part of, a broader set of safeguarding measures.
-
D.
measuresSafetyUsing
Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
-
E.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7007588819095bb1de029a6f2eb |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:52 a.m.