Triple
T38047862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿAbd al-Razzāq |
E949668
|
entity |
| Predicate | theophoricReferenceTo |
P9869
|
FINISHED |
| Object | al-Razzāq |
—
|
NE NERFINISHED |
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: al-Razzāq | Statement: [ʿAbd al-Razzāq, theophoricReferenceTo, al-Razzāq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theophoricReferenceTo Context triple: [ʿAbd al-Razzāq, theophoricReferenceTo, al-Razzāq]
-
A.
isTheophoric
chosen
Indicates that something (typically a name or term) incorporates the name of a deity or refers explicitly to a god.
-
B.
hasTheophoricPlaceName
Indicates that a place bears a name derived from or incorporating the name of a deity.
-
C.
refersToDeityName
Indicates that one entity mentions, designates, or is associated with the name of a deity.
-
D.
mythologicalTextMention
Indicates that a mythological text mentions, references, or otherwise explicitly refers to a given entity or concept.
-
E.
toponymRefersTo
Indicates that a place name (toponym) designates or refers to a specific geographic entity or location.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.