Triple
T31961203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Mash'ar al-Haram |
E816043
|
entity |
| Predicate | hasPilgrimActivity |
P174865
|
FINISHED |
| Object | spending part of the night |
—
|
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: spending part of the night | Statement: [Al-Mash'ar al-Haram, hasPilgrimActivity, spending part of the night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimActivity Context triple: [Al-Mash'ar al-Haram, hasPilgrimActivity, spending part of the night]
-
A.
hasPilgrimageActivity
Indicates that an entity engages in, organizes, or is associated with a religious pilgrimage activity.
-
B.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
C.
hasPilgrimageFrom
Indicates that a pilgrimage originates from or is undertaken starting at a specified location or source.
-
D.
hasPilgrimageObject
Indicates that an entity has a specific object or site that serves as the focus or destination of a pilgrimage associated with it.
-
E.
hasPilgrimageType
Indicates that an entity is associated with a specific type or category of pilgrimage.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 12:09 a.m.