Triple
T26525644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mae Hong Son Airport |
E670679
|
entity |
| Predicate | usedForDomesticFlights |
P1658
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Mae Hong Son Airport, usedForDomesticFlights, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForDomesticFlights Context triple: [Mae Hong Son Airport, usedForDomesticFlights, true]
-
A.
hasDomesticFlights
chosen
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
-
B.
usedForPassengerFlights
Indicates that something serves as a means or facility for transporting passengers on flights.
-
C.
isDomesticAirport
Indicates that an airport primarily handles flights within the same country, rather than international routes.
-
D.
hasDomesticConcourse
Indicates that a transportation facility includes a concourse area designated for domestic (within-country) passengers or services.
-
E.
hasDomesticTerminal
Indicates that a transportation facility, typically an airport, includes a terminal dedicated to domestic (within-country) travel operations.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 1:31 a.m.