Triple
T10227722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | worship of al-‘Uzza |
E243247
|
entity |
| Predicate | shrineDestructionTime |
P68493
|
FINISHED |
| Object | after the conquest of 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: after the conquest of Mecca | Statement: [worship of al-‘Uzza, shrineDestructionTime, after the conquest of Mecca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shrineDestructionTime Context triple: [worship of al-‘Uzza, shrineDestructionTime, after the conquest of Mecca]
-
A.
shrineRemovalOrderedBy
Indicates that an authority or agent has issued an order for the removal of a shrine.
-
B.
shrineRemovedIn
Indicates that a shrine was removed, dismantled, or no longer existed starting in the specified time or date.
-
C.
timeOfDestruction
chosen
Indicates the specific time at which an entity is destroyed or ceases to exist.
-
D.
shrineType
Indicates the specific category or kind of shrine associated with an entity.
-
E.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:18 a.m.