Triple
T175728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Administrator of the Environmental Protection Agency (Cabinet-level) |
E3569
|
entity |
| Predicate | hasNoFixedTerm |
P1817
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Administrator of the Environmental Protection Agency (Cabinet-level), hasNoFixedTerm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoFixedTerm Context triple: [Administrator of the Environmental Protection Agency (Cabinet-level), hasNoFixedTerm, true]
-
A.
isShortLived
Indicates that an entity exists or remains in a particular state for only a brief or limited period of time.
-
B.
doesNotHave
chosen
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
C.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
D.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
E.
doesNotApplyRetroactivelyTo
Indicates that a rule, law, or condition does not affect events, actions, or situations that occurred before it came into effect.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e497788190aeb61d981efb4d1d |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a25669d99481908c5e82ba8641205a |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.