Triple
T36269876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEQU |
E892639
|
entity |
| Predicate | successorAirportName |
P87180
|
FINISHED |
| Object | Mariscal Sucre International Airport (new airport) |
—
|
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: Mariscal Sucre International Airport (new airport) | Statement: [SEQU, successorAirportName, Mariscal Sucre International Airport (new airport)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAirportName Context triple: [SEQU, successorAirportName, Mariscal Sucre International Airport (new airport)]
-
A.
namedAfterAirport
Indicates that one entity has been given a name derived from or in honor of a specific airport.
-
B.
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.
-
C.
previousAirportName
chosen
Indicates the name that an airport was known by before its current name.
-
D.
successorAirline
Indicates that one airline has taken over, replaced, or continued the operations of another airline as its successor.
-
E.
destinationAirportAlternativeName
Indicates that an airport serves as an alternative or secondary destination for another airport, typically used when the primary destination is unavailable or unsuitable.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0061454944819088a0babfe60f69fc |
completed | May 10, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_6a0060b9ee108190b91e8d99a16f2b30 |
completed | May 10, 2026, 10:40 a.m. |
Created at: May 3, 2026, 4:09 p.m.