Triple
T18572560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusof Ishak Mosque |
E453904
|
entity |
| Predicate | hasPrayerType |
P37362
|
FINISHED |
| Object | daily prayers |
—
|
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: daily prayers | Statement: [Yusof Ishak Mosque, hasPrayerType, daily prayers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrayerType Context triple: [Yusof Ishak Mosque, hasPrayerType, daily prayers]
-
A.
containsPrayerType
chosen
Indicates that one entity includes or encompasses a specific type or category of prayer.
-
B.
hasPrayerRite
Indicates that one entity is associated with, follows, or practices a particular prayer rite or liturgical form.
-
C.
canBePrayed
Indicates that an entity is a suitable or valid target for prayer or religious supplication.
-
D.
hasPilgrimageType
Indicates that an entity is associated with a specific type or category of pilgrimage.
-
E.
hasViewOnPrayerText
Indicates that an entity holds a particular stance, interpretation, or opinion regarding a specific prayer text.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b032488819098de683bb5c42c4b |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.