Triple
T3775083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaffna International Airport |
E83287
|
entity |
| Predicate | reopenedForCivilianFlights |
P15153
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Jaffna International Airport, reopenedForCivilianFlights, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedForCivilianFlights Context triple: [Jaffna International Airport, reopenedForCivilianFlights, 2019]
-
A.
closedForFlightOperations
Indicates that a location, facility, or area is temporarily unavailable or prohibited for conducting flight operations.
-
B.
openedAsCivilAirport
chosen
Indicates that a facility or location began operation specifically as a civil (non-military) airport.
-
C.
reopenedAsMainLowCostAirport
Indicates that an airport has been reopened and designated as the primary low-cost (budget) airport for a given area or city.
-
D.
reopenedAsInternationalTerminal
Indicates that a terminal, previously closed or used differently, has been reopened specifically to function as an international terminal.
-
E.
replacedByForCivilTraffic
Indicates that one entity has been superseded or substituted by another specifically for purposes related to civil traffic matters.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5ac9688190bc921cd3ba1d0580 |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.