Triple
T23623214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arar border crossing |
E583378
|
entity |
| Predicate | destinationForPilgrims |
P20225
|
FINISHED |
| Object | Mecca |
—
|
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: Mecca | Statement: [Arar border crossing, destinationForPilgrims, Mecca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destinationForPilgrims Context triple: [Arar border crossing, destinationForPilgrims, Mecca]
-
A.
pilgrimageRouteTo
Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
-
B.
pilgrimageStartingPoint
Indicates the location from which a pilgrimage journey is initiated or begins.
-
C.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
D.
goalOfPilgrimage
Indicates that the object represents the spiritual, religious, or personal objective that motivates the subject’s pilgrimage.
-
E.
isPilgrimageDestination
chosen
Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17ae58c8190b7b6cdc57c6ead3a |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.