Triple
T33967981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrine of Prophet Yahya |
E870907
|
entity |
| Predicate | hasNameInIslam |
P29994
|
FINISHED |
| Object | Maqam Nabi Yahya |
—
|
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: Maqam Nabi Yahya | Statement: [Shrine of Prophet Yahya, hasNameInIslam, Maqam Nabi Yahya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInIslam Context triple: [Shrine of Prophet Yahya, hasNameInIslam, Maqam Nabi Yahya]
-
A.
knownInIslamAs
chosen
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
B.
hasReligiousName
Indicates that an entity possesses a name specifically associated with a religious context, role, or tradition.
-
C.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
D.
hasGivenNameFormInArabic
Indicates that an entity has a specific given-name form expressed in the Arabic language.
-
E.
preIslamicName
Indicates the name an entity had before the adoption or emergence of Islam.
- 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 1, 2026, 1:50 a.m.