Triple
T3522457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Plan of Integrated Airport Systems |
E74454
|
entity |
| Predicate | eligibilityCriterionFor |
P1130
|
FINISHED |
| Object | Airport Improvement Program funding |
—
|
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: Airport Improvement Program funding | Statement: [National Plan of Integrated Airport Systems, eligibilityCriterionFor, Airport Improvement Program funding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibilityCriterionFor Context triple: [National Plan of Integrated Airport Systems, eligibilityCriterionFor, Airport Improvement Program funding]
-
A.
eligibilityCriteria
chosen
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
B.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
C.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given context.
-
D.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
E.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4dd6d48190a5a3f4b86c82b86c |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.