Triple
T2043833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzdalifah |
E45404
|
entity |
| Predicate | timeOfStay |
P7934
|
FINISHED |
| Object | night of 9th to 10th of Dhu al-Hijjah |
—
|
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: night of 9th to 10th of Dhu al-Hijjah | Statement: [Muzdalifah, timeOfStay, night of 9th to 10th of Dhu al-Hijjah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfStay Context triple: [Muzdalifah, timeOfStay, night of 9th to 10th of Dhu al-Hijjah]
-
A.
locationPeriod
chosen
Indicates that an entity is associated with being at a particular location during a specified time period.
-
B.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
C.
reasonForStay
Indicates the underlying cause, purpose, or circumstance that explains why an entity remains or is staying in a particular place or situation.
-
D.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
E.
hasResidenceTime
Indicates the duration for which something remains or stays within a particular place, system, or state.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.