Triple
T12409817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pueblo Chemical Agent-Destruction Pilot Plant |
E296485
|
entity |
| Predicate | hasSafetyGoal |
P39497
|
FINISHED |
| Object | protection of workers |
—
|
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: protection of workers | Statement: [Pueblo Chemical Agent-Destruction Pilot Plant, hasSafetyGoal, protection of workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyGoal Context triple: [Pueblo Chemical Agent-Destruction Pilot Plant, hasSafetyGoal, protection of workers]
-
A.
safetyGoal
chosen
Indicates that an entity is associated with a specific safety objective or target condition intended to prevent harm or reduce risk.
-
B.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
-
C.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
D.
securityGoal
Indicates that an action, system, or policy is intended to achieve, support, or satisfy a specified security objective or protection target.
-
E.
hasReliabilityGoal
Indicates that an entity is associated with or assigned a specific reliability-related objective or target.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.