Triple
T7348038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miqat |
E169426
|
entity |
| Predicate | Miqat zamaniDefinition |
P4815
|
FINISHED |
| Object | time period during which Hajj rites may be performed |
—
|
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: time period during which Hajj rites may be performed | Statement: [Miqat, Miqat zamaniDefinition, time period during which Hajj rites may be performed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Miqat zamaniDefinition Context triple: [Miqat, Miqat zamaniDefinition, time period during which Hajj rites may be performed]
-
A.
timeDefinite
Indicates that the associated event or state occurs at a clearly specified, fixed point or interval in time.
-
B.
timeWithMuhammad
Indicates that one entity spends or has spent time together with Muhammad.
-
C.
representsTimeIn
chosen
Indicates that one entity expresses, encodes, or specifies the time at which another entity occurs, is valid, or is observed.
-
D.
usePeriodAsMosque
Indicates that a particular time period is utilized or designated for functioning as a mosque or for mosque-related activities.
-
E.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.