Triple
T6568791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhu al-Qadah |
E155379
|
entity |
| Predicate | dayCountSystem |
P64770
|
FINISHED |
| Object | based on lunar sighting |
—
|
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: based on lunar sighting | Statement: [Dhu al-Qadah, dayCountSystem, based on lunar sighting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayCountSystem Context triple: [Dhu al-Qadah, dayCountSystem, based on lunar sighting]
-
A.
hasNumberOfWeekSystems
Indicates the relationship that specifies how many distinct week-based systems are associated with or used by a given entity.
-
B.
hasDayNameSystem
Indicates that an entity employs or is associated with a particular system for naming or designating days.
-
C.
hasDayCount
Indicates that an entity is associated with a specific number of days, expressing the duration or count of days related to it.
-
D.
hadDayCountingSystem
chosen
Indicates that an entity used or maintained a specific system for counting or organizing days.
-
E.
specialDaysCount
Indicates the number of special or designated days associated with an entity or time period.
- 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_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. |
Created at: March 27, 2026, 1:53 p.m.