Triple
T8989908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quba |
E214761
|
entity |
| Predicate | hasTypeOfMosque |
P86196
|
FINISHED |
| Object | early Islamic mosque |
—
|
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: early Islamic mosque | Statement: [Quba, hasTypeOfMosque, early Islamic mosque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfMosque Context triple: [Quba, hasTypeOfMosque, early Islamic 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.
hasNumberOfMosques
Indicates the quantity of mosques associated with a given entity.
-
D.
hasMinarets
Indicates that an entity (typically a building) possesses one or more minarets as architectural features.
-
E.
mainPrayerHallType
Indicates the specific architectural or functional type assigned to a main prayer hall within a religious or worship-related structure.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687205c88190a4cdf12ee2cdfd14 |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:04 p.m.