Triple
T5516878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KPUB |
E144705
|
entity |
| Predicate | nationalPlanCategory |
P65204
|
FINISHED |
| Object | primary commercial service airport |
—
|
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: primary commercial service airport | Statement: [KPUB, nationalPlanCategory, primary commercial service airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalPlanCategory Context triple: [KPUB, nationalPlanCategory, primary commercial service airport]
-
A.
nationalProgram
Indicates that an entity is part of, associated with, or designated as a program organized or administered at the national level.
-
B.
coordinatesNationalPoliciesFor
Indicates that one entity organizes and harmonizes national-level policies or strategies across multiple actors or domains.
-
C.
planningNation
Indicates that a nation is responsible for planning, organizing, or coordinating the referenced activity, event, or operation.
-
D.
notableNationalProgram
Indicates that an entity is recognized as a significant or prominent program at the national level.
-
E.
nationalGoals
Indicates a relationship where certain objectives or targets are officially set or recognized as the goals of a nation.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5e8ce08190b7f5f2131bebcd4f |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:33 p.m.