Triple
T24306066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhat an-Nitaqayn |
E612537
|
entity |
| Predicate | religiousStatusOfHolder |
P6453
|
FINISHED |
| Object | Companion of the Prophet |
—
|
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: Companion of the Prophet | Statement: [Dhat an-Nitaqayn, religiousStatusOfHolder, Companion of the Prophet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousStatusOfHolder Context triple: [Dhat an-Nitaqayn, religiousStatusOfHolder, Companion of the Prophet]
-
A.
religiousStatus
chosen
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
-
B.
civicStatus
Indicates the legal or social standing of an individual within a civic or societal framework, such as marital or citizenship status.
-
C.
religiousCondition
Indicates a condition, requirement, or circumstance that is defined or constrained by religious beliefs, practices, or affiliations.
-
D.
hasCivilStatus
Indicates the civil or marital status that applies to a person or entity (e.g., single, married, divorced).
-
E.
politicalStatusOfOccupant
Indicates the political role, affiliation, or status held by the occupant of a given position, place, or office.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292272af88190b9c23615adbac911 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:30 a.m.