Triple
T36269878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEQU |
E892639
|
entity |
| Predicate | successorAirportICAO |
P202229
|
FINISHED |
| Object | SEQM |
—
|
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: SEQM | Statement: [SEQU, successorAirportICAO, SEQM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAirportICAO Context triple: [SEQU, successorAirportICAO, SEQM]
-
A.
successorCodeForSameAirport
Indicates that one code is the direct replacement or follow-up code for the same airport, reflecting a change while the underlying airport remains the same.
-
B.
successorAircraft
Indicates that one aircraft model directly follows and replaces another in a developmental or operational sequence.
-
C.
destinationAirportICAO
Indicates the airport, identified by its ICAO code, that serves as the destination in a flight or travel-related context.
-
D.
replacedAsMainAirportFor
Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
-
E.
replacedFormerAirportOf
Indicates that one airport has taken over the role or function previously served by another airport, effectively succeeding it as the primary facility for a given area or purpose.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a006417d1f4819093b2da02dbf2ab22 |
completed | May 10, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a00634a7a748190ac4774493fce3d30 |
completed | May 10, 2026, 10:51 a.m. |
| PDg | Predicate description generation | batch_6a006416f78081909b6ef047c531158d |
completed | May 10, 2026, 10:55 a.m. |
Created at: May 3, 2026, 4:09 p.m.