Triple
T312152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Masjid an-Nabawi |
E7629
|
entity |
| Predicate | hasMinarets |
P11839
|
FINISHED |
| Object | 10 or more minarets after modern expansions |
—
|
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: 10 or more minarets after modern expansions | Statement: [Al-Masjid an-Nabawi, hasMinarets, 10 or more minarets after modern expansions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinarets Context triple: [Al-Masjid an-Nabawi, hasMinarets, 10 or more minarets after modern expansions]
-
A.
hasReligiousSite
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
B.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
C.
spires
Indicates that one entity rises or tapers upward in a tall, pointed, tower-like form from another entity.
-
D.
hasCathedralCity
Indicates that a particular city is officially recognized as the cathedral city associated with a given ecclesiastical jurisdiction or region.
-
E.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4aa16881909b2c8404b85992df |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.