Triple
T32975600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XY |
E843650
|
entity |
| Predicate | operatorAirlineFocusCity |
P4364
|
FINISHED |
| Object | Dammam |
—
|
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: Dammam | Statement: [XY, operatorAirlineFocusCity, Dammam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorAirlineFocusCity Context triple: [XY, operatorAirlineFocusCity, Dammam]
-
A.
airlineService
Indicates that an airline operates transportation services (such as flights) between specified locations or for specified routes.
-
B.
airlineHub
chosen
Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
-
C.
airTransportServedBy
Indicates that a particular air transport service (such as a route, flight, or airport operation) is provided or operated by a specified carrier or service provider.
-
D.
airlineContext
Indicates a relationship, situation, or action that specifically occurs within or is constrained by an airline-related context (such as flights, carriers, or air travel operations).
-
E.
servesAirlinesFrom
Indicates that a location or facility provides service or operations for flights belonging to specific airlines originating from that place.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0059f4ffe481908dc500cee9051148 |
completed | May 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a00593a3c1881909b2ff1a29eb474b3 |
completed | May 10, 2026, 10:08 a.m. |
Created at: May 1, 2026, 1:22 a.m.