Triple
T8340082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leesburg Executive Airport |
E195886
|
entity |
| Predicate | categoryInNAS |
P87
|
FINISHED |
| Object | reliever 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: reliever airport | Statement: [Leesburg Executive Airport, categoryInNAS, reliever airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryInNAS Context triple: [Leesburg Executive Airport, categoryInNAS, reliever airport]
-
A.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
-
B.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
C.
categoryLabel_A
Indicates that an entity is assigned to or associated with a specific category label A.
-
D.
categoryLabel_H
Indicates that an entity is assigned a human-readable category label or classification.
-
E.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.