Triple
T24363684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 15/33 |
E614133
|
entity |
| Predicate | hasIataAirport |
P2569
|
FINISHED |
| Object | SZG |
—
|
NE NERFINISHED |
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: SZG | Statement: [Runway 15/33, hasIataAirport, SZG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIataAirport Context triple: [Runway 15/33, hasIataAirport, SZG]
-
A.
hasIATAcode
chosen
Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
-
B.
hasIataAirportCodeContext
Indicates that an entity is associated with a specific IATA airport code within a particular contextual scope or usage.
-
C.
IATAcode
Indicates the three-letter IATA airport or airline code assigned to the entity.
-
D.
hasIATAStyle
Indicates that one entity uses or conforms to the IATA (International Air Transport Association) style or formatting standard associated with another entity.
-
E.
hasKeyAirport
Indicates that a location or region possesses a primary or strategically important airport that serves as a major access point or hub.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938694548190a3fcb148cfff65b0 |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:01 a.m.