Triple
T35169240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shantou Waisha Airport |
E1015495
|
entity |
| Predicate | replacedAsPrimaryAirportFor |
P29669
|
FINISHED |
| Object | Shantou |
—
|
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: Shantou | Statement: [Shantou Waisha Airport, replacedAsPrimaryAirportFor, Shantou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedAsPrimaryAirportFor Context triple: [Shantou Waisha Airport, replacedAsPrimaryAirportFor, Shantou]
-
A.
replacedAsMainAirportFor
chosen
Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
-
B.
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.
-
C.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
D.
hasFormerNearbyAirportName
Indicates that an entity previously had a nearby airport known by a different name than its current nearby airport name.
-
E.
previousPrimaryAirportFor
Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:02 p.m.