Triple
T25026777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZSAM |
E626730
|
entity |
| Predicate | associatedRunwayLocation |
P105006
|
FINISHED |
| Object | Gaoqi area of Xiamen |
—
|
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: Gaoqi area of Xiamen | Statement: [ZSAM, associatedRunwayLocation, Gaoqi area of Xiamen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRunwayLocation Context triple: [ZSAM, associatedRunwayLocation, Gaoqi area of Xiamen]
-
A.
associatedWithRunways
chosen
Indicates a relationship where something (such as an object, facility, or feature) is linked or connected to one or more runways.
-
B.
runwayAdjacentTo
Indicates that a runway is directly next to or alongside another feature or area, with no significant separation between them.
-
C.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
D.
runwayName
Indicates the designated name or identifier assigned to a runway.
-
E.
runwayInformationAvailableIn
Indicates that information about a runway is available within or through a specified medium, source, or context.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 18, 2026, 6:07 a.m.