Triple
T6557602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Cairo International Airport) |
E152489
|
entity |
| Predicate | relativeImportanceAtAirport |
P71786
|
FINISHED |
| Object | one of the main terminals |
—
|
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: one of the main terminals | Statement: [Terminal 2 (Cairo International Airport), relativeImportanceAtAirport, one of the main terminals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeImportanceAtAirport Context triple: [Terminal 2 (Cairo International Airport), relativeImportanceAtAirport, one of the main terminals]
-
A.
relativeImportanceInCountry
Indicates the comparative significance or priority of something within the context of a specific country.
-
B.
routeImportance
Indicates the relative significance or priority of a route compared to other possible routes, typically in terms of usefulness, relevance, or preference.
-
C.
rankingByAircraftMovements
Indicates the relative order of entities based on the number of aircraft movements (takeoffs and landings) they handle.
-
D.
airportRank
Indicates the relative position or level assigned to an airport within a ranking or ordered list.
-
E.
associatedAirportServes
Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
- F. None of above. chosen
Provenance (4 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c1b007148190b5164d6d09584cdf |
completed | March 27, 2026, 5:43 p.m. |
Created at: March 27, 2026, 1:52 p.m.