Triple
T22064869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | public service examination |
E545240
|
entity |
| Predicate | applicantsMustMeet |
P1130
|
FINISHED |
| Object | eligibility criteria |
—
|
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: eligibility criteria | Statement: [public service examination, applicantsMustMeet, eligibility criteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicantsMustMeet Context triple: [public service examination, applicantsMustMeet, eligibility criteria]
-
A.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
B.
admissionRequired
Indicates that access to something is conditional on being formally admitted or granted entry beforehand.
-
C.
appointmentRequirement
Indicates that a particular action, service, or interaction can only occur if an appointment has been scheduled or a specified appointment condition is met.
-
D.
eligibilityCriteria
chosen
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
E.
boardingRequirement
Indicates the conditions or criteria that must be met for an entity to be allowed to board another entity (such as a vehicle, vessel, or aircraft).
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12882ab3c819095b61e0a341edfdf |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.