Triple
T25606578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TwoHolyMosquesSanctuary |
E641928
|
entity |
| Predicate | hasSecondaryMosque |
P38665
|
FINISHED |
| Object | Al-Masjid an-Nabawi |
—
|
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: Al-Masjid an-Nabawi | Statement: [TwoHolyMosquesSanctuary, hasSecondaryMosque, Al-Masjid an-Nabawi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryMosque Context triple: [TwoHolyMosquesSanctuary, hasSecondaryMosque, Al-Masjid an-Nabawi]
-
A.
hasMosque
chosen
Indicates that one entity possesses, contains, or is the location of a mosque.
-
B.
hasNumberOfMosques
Indicates the quantity of mosques associated with a given entity.
-
C.
hasTypeOfMosque
Indicates that an entity is classified as, or identified to be, a particular type or category of mosque.
-
D.
mainMosqueCity
Indicates that a city is the primary location of a particular mosque, typically where the mosque is chiefly associated or situated.
-
E.
hasMinarets
Indicates that an entity (typically a building) possesses one or more minarets as architectural features.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 21, 2026, 4:38 p.m.