Triple
T30819189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safā and Marwah area |
E784868
|
entity |
| Predicate | ritualSymbolizes |
P141481
|
FINISHED |
| Object | Hajar's search for water |
—
|
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: Hajar's search for water | Statement: [Safā and Marwah area, ritualSymbolizes, Hajar's search for water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ritualSymbolizes Context triple: [Safā and Marwah area, ritualSymbolizes, Hajar's search for water]
-
A.
ritualSignificance
chosen
Indicates that something holds special importance or meaning within a ritual or ceremonial context.
-
B.
ritualPurpose
Indicates the intended function, goal, or role that a ritual is meant to serve or fulfill.
-
C.
ritualsDirectedAt
Indicates that certain rituals are performed with a specific entity, object, or target as their intended focus or recipient.
-
D.
ritualCharacteristics
Indicates the defining features, practices, or attributes that characterize a particular ritual.
-
E.
ritualCategory
Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 8:44 p.m.