Triple
T10873349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eros Airport |
E256711
|
entity |
| Predicate | roleRelativeToHoseaKutakoInternationalAirport |
P5148
|
FINISHED |
| Object | secondary and domestic airport |
—
|
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: secondary and domestic airport | Statement: [Eros Airport, roleRelativeToHoseaKutakoInternationalAirport, secondary and domestic airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleRelativeToHoseaKutakoInternationalAirport Context triple: [Eros Airport, roleRelativeToHoseaKutakoInternationalAirport, secondary and domestic airport]
-
A.
isLocatedAtAirportType
Indicates that one entity is situated at, or associated with, an airport of a specified type (e.g., international, regional, military).
-
B.
isRelieverAirportFor
Indicates that one airport functions as a reliever facility intended to reduce congestion or traffic load for another primary airport.
-
C.
airportRole
chosen
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
D.
isLocatedAtAirportServingCity
Indicates that something is situated at an airport that provides service to a particular city.
-
E.
hasRelativePositionAtAirport
Indicates that one entity has a specific spatial or positional relationship to another entity within the context or layout of an airport.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751891b508190959784f212e06acb |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.