Triple
T6568786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhu al-Qadah |
E155379
|
entity |
| Predicate | sacredMonthGroup |
P71918
|
FINISHED |
| Object | Dhu al-Qadah, Dhu al-Hijjah, Muharram, Rajab |
—
|
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: Dhu al-Qadah, Dhu al-Hijjah, Muharram, Rajab | Statement: [Dhu al-Qadah, sacredMonthGroup, Dhu al-Qadah, Dhu al-Hijjah, Muharram, Rajab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacredMonthGroup Context triple: [Dhu al-Qadah, sacredMonthGroup, Dhu al-Qadah, Dhu al-Hijjah, Muharram, Rajab]
-
A.
sacredTo
Indicates that one entity is regarded as holy, revered, or dedicated in honor of another entity, such as a deity, person, or concept.
-
B.
religiousCalendar
Indicates that there is an association between an entity and a system of dates and observances defined by a particular religion or religious tradition.
-
C.
hasRitualCalendar
Indicates that an entity maintains or is associated with a structured schedule of ritual or ceremonial events.
-
D.
ritualDate
Indicates the specific date on which a ritual or ceremonial event takes place.
-
E.
monthInHinduCalendar
Indicates that a specified time or event falls within a particular month as defined by the Hindu calendar system.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 1:53 p.m.