Triple
T7348069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miqat |
E169426
|
entity |
| Predicate | airTravelPractice |
P76735
|
FINISHED |
| Object | pilgrims enter ihram before crossing Miqat line in flight |
—
|
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: pilgrims enter ihram before crossing Miqat line in flight | Statement: [Miqat, airTravelPractice, pilgrims enter ihram before crossing Miqat line in flight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airTravelPractice Context triple: [Miqat, airTravelPractice, pilgrims enter ihram before crossing Miqat line in flight]
-
A.
airlinesUse
Indicates that certain airlines operate, employ, or make use of a specified resource, service, or system.
-
B.
airSupport
Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
-
C.
travelsOn
Indicates that an entity moves or journeys using a particular route, path, or mode of transportation.
-
D.
travelRequirement
Indicates that a certain amount or type of travel is necessary for participating in or fulfilling the associated activity, role, or arrangement.
-
E.
airline
Indicates that an entity operates as a commercial air transport carrier providing flight services between locations.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1379cac81908b35e617c44c7b13 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:05 p.m.