Triple
T389422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeddah |
E8848
|
entity |
| Predicate | pilgrimageRelation |
P3158
|
FINISHED |
| Object | entry point for Hajj pilgrims |
—
|
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: entry point for Hajj pilgrims | Statement: [Jeddah, pilgrimageRelation, entry point for Hajj pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageRelation Context triple: [Jeddah, pilgrimageRelation, entry point for Hajj pilgrims]
-
A.
veneratedAt
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
-
B.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
C.
hasReligiousSite
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
D.
religionHistoricallyAssociated
Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
-
E.
relatedPlace
chosen
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5bdc848190826701590070497b |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96960608190bdd342da9c5ddb5e |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.