Triple
T16326708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabigh |
E396437
|
entity |
| Predicate | partOfPilgrimageCorridor |
P38487
|
FINISHED |
| Object | routes to Mecca |
—
|
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: routes to Mecca | Statement: [Rabigh, partOfPilgrimageCorridor, routes to Mecca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfPilgrimageCorridor Context triple: [Rabigh, partOfPilgrimageCorridor, routes to Mecca]
-
A.
pilgrimageRouteTo
chosen
Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
-
B.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
C.
pilgrimageStartingPoint
Indicates the location from which a pilgrimage journey is initiated or begins.
-
D.
isPilgrimageDestination
Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
-
E.
precededOnPilgrimageBy
Indicates that one entity went on a pilgrimage earlier in time than another, such that the first entity’s pilgrimage occurred before the second’s.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296bab8b48190b373b4efbd6f0d8c |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.