Triple
T33487246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam in Azerbaijan |
E857644
|
entity |
| Predicate | importantMosque |
P151153
|
FINISHED |
| Object | Taza Pir Mosque |
—
|
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: Taza Pir Mosque | Statement: [Islam in Azerbaijan, importantMosque, Taza Pir Mosque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantMosque Context triple: [Islam in Azerbaijan, importantMosque, Taza Pir Mosque]
-
A.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
-
B.
JumaMosqueInstanceOf
Indicates that something is classified as an instance of a Juma (Friday) mosque.
-
C.
mainMosqueCity
Indicates that a city is the primary location of a particular mosque, typically where the mosque is chiefly associated or situated.
-
D.
isMajorReligiousBuildingOf
chosen
Indicates that a building serves as the primary or most significant religious structure associated with a particular religious group, institution, or area.
-
E.
hasNumberOfMosques
Indicates the quantity of mosques associated with a given entity.
- 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:38 a.m.