Triple
T24539751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayabad Mosque |
E607056
|
entity |
| Predicate | hasCornerTower |
P8955
|
FINISHED |
| Object | four corner turrets |
—
|
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: four corner turrets | Statement: [Nayabad Mosque, hasCornerTower, four corner turrets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCornerTower Context triple: [Nayabad Mosque, hasCornerTower, four corner turrets]
-
A.
hasTower
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
B.
hasTowerPosition
Indicates that an entity occupies or is assigned a specific position or location within a tower.
-
C.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
D.
hasDomeOrTower
Indicates that one entity possesses or features a dome or a tower as part of its structure.
-
E.
isObservationTower
Indicates that something functions as an observation tower, serving primarily as a structure for viewing or monitoring an area from an elevated position.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.