Triple
T31012560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namirah Mosque |
E790244
|
entity |
| Predicate | pilgrimageTypeAssociated |
P74747
|
FINISHED |
| Object | Hajj |
—
|
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: Hajj | Statement: [Namirah Mosque, pilgrimageTypeAssociated, Hajj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageTypeAssociated Context triple: [Namirah Mosque, pilgrimageTypeAssociated, Hajj]
-
A.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
B.
pilgrimageObject
Indicates that something serves as the destination, focus, or goal of a religious pilgrimage.
-
C.
pilgrimageSince
Indicates that an entity has been engaged in or committed to a pilgrimage starting from a specified point in time.
-
D.
hasPilgrimageType
chosen
Indicates that an entity is associated with a specific type or category of pilgrimage.
-
E.
hasPilgrimageRouteType
Indicates that a pilgrimage route is associated with a specific type or category of pilgrimage path.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:57 p.m.