Triple
T14151768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultaniyeh |
E350699
|
entity |
| Predicate | hasBuildingStoreys |
P1728
|
FINISHED |
| Object | two-storey octagonal structure (mausoleum) |
—
|
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: two-storey octagonal structure (mausoleum) | Statement: [Sultaniyeh, hasBuildingStoreys, two-storey octagonal structure (mausoleum)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingStoreys Context triple: [Sultaniyeh, hasBuildingStoreys, two-storey octagonal structure (mausoleum)]
-
A.
hasMultipleBuildings
Indicates that an entity possesses, controls, or is associated with more than one distinct building.
-
B.
numberOfFloors
chosen
Indicates the total count of distinct floor levels that a building or structure has.
-
C.
hasFloorsAboveGround
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
-
D.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
E.
floorCountOfSurroundingBuildings
Indicates the number of floors in the buildings that are located around or near a given reference building or area.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:57 a.m.