Triple
T7093601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Age Discrimination in Employment Act of 1967 |
E165265
|
entity |
| Predicate | coversPractice |
P74486
|
FINISHED |
| Object | hiring |
—
|
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: hiring | Statement: [Age Discrimination in Employment Act of 1967, coversPractice, hiring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversPractice Context triple: [Age Discrimination in Employment Act of 1967, coversPractice, hiring]
-
A.
mentionsPractice
Indicates that one entity refers to, discusses, or brings up a particular practice in some form of communication.
-
B.
homePractice
Indicates that an activity, skill, or task is being practiced or carried out in a home setting rather than in a formal or external environment.
-
C.
requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
-
D.
coversSection
Indicates that one entity includes, addresses, or provides content for a particular section of another entity.
-
E.
extendedPractice
Indicates that an entity engages in a prolonged or repeated practice or rehearsal of an activity beyond its usual or standard duration.
- F. None of above. chosen
Provenance (4 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e55159848190a794ad77e60c5525 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.