Triple
T14061612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabriz International Airport |
E338358
|
entity |
| Predicate | hasDomesticDestinationType |
P1658
|
FINISHED |
| Object | Iranian cities |
—
|
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: Iranian cities | Statement: [Tabriz International Airport, hasDomesticDestinationType, Iranian cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDomesticDestinationType Context triple: [Tabriz International Airport, hasDomesticDestinationType, Iranian cities]
-
A.
hasDomesticTerminal
Indicates that a transportation facility, typically an airport, includes a terminal dedicated to domestic (within-country) travel operations.
-
B.
isDomesticAirport
Indicates that an airport primarily handles flights within the same country, rather than international routes.
-
C.
hasDomesticFlights
chosen
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
-
D.
hasNoInternationalCrossing
Indicates that there is no crossing or connection between the entities that extends across international borders.
-
E.
isRegionalDestination
Indicates that a place serves as a primary travel or attraction target within a specific geographic region.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.