Triple
T25825934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taj-ul-Masajid |
E650528
|
entity |
| Predicate | hasPrayerArea |
P181106
|
FINISHED |
| Object | separate women’s section |
—
|
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: separate women’s section | Statement: [Taj-ul-Masajid, hasPrayerArea, separate women’s section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrayerArea Context triple: [Taj-ul-Masajid, hasPrayerArea, separate women’s section]
-
A.
hasPrayerRite
Indicates that one entity is associated with, follows, or practices a particular prayer rite or liturgical form.
-
B.
canBePrayed
Indicates that an entity is a suitable or valid target for prayer or religious supplication.
-
C.
praysAt
Indicates that one entity performs an act of prayer at, or directed toward, a specific place or site.
-
D.
hasPrayerHallShape
Indicates that an entity possesses a specific architectural or spatial form characteristic of a prayer hall.
-
E.
hasQiblaWall
Indicates that a structure or space possesses a designated qibla wall, i.e., the wall oriented toward the direction of Islamic prayer.
- F. None of above. chosen
Provenance (4 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
| PDg | Predicate description generation | batch_69f762651e088190baa21f25378a6065 |
completed | May 3, 2026, 2:57 p.m. |
Created at: April 22, 2026, 7:36 a.m.