Triple
T2411426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKBO |
E52197
|
entity |
| Predicate | hasAirportCategory |
P424
|
FINISHED |
| Object | public |
—
|
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: public | Statement: [SKBO, hasAirportCategory, public]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirportCategory Context triple: [SKBO, hasAirportCategory, public]
-
A.
hasAirportClassification
chosen
Indicates that an airport is assigned a specific classification or category based on defined criteria.
-
B.
hasAirportWithinJurisdiction
Indicates that a governing authority or administrative region has legal or administrative control over an airport located within its boundaries.
-
C.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
D.
hasAirfieldType
Indicates that an airfield is classified as having a particular type or category of airfield.
-
E.
hasAirportCodeType
Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc928fd608190885fcde6746a06bc |
completed | March 7, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:41 p.m.