Triple
T36885139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammichele |
E911587
|
entity |
| Predicate | hasMainSquareShape |
P204247
|
FINISHED |
| Object | hexagonal |
—
|
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: hexagonal | Statement: [Grammichele, hasMainSquareShape, hexagonal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSquareShape Context triple: [Grammichele, hasMainSquareShape, hexagonal]
-
A.
hasSquareShape
Indicates that an entity possesses a square geometric shape, typically having four equal sides and four right angles.
-
B.
hasMainHallShape
Indicates that an entity’s main hall has a specific geometric or structural shape.
-
C.
mainSquare
Indicates that a location serves as the primary or central public square of a town or city.
-
D.
isMainCeremonialSquareOf
Indicates that a particular square serves as the primary official or ceremonial public space for a given place or community.
-
E.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0356f541b08190b40469aa628087f4 |
completed | May 12, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_6a03569e4fa881909c57351a6c489636 |
completed | May 12, 2026, 4:34 p.m. |
| PDg | Predicate description generation | batch_6a0356f44b308190822c6becc71e3582 |
completed | May 12, 2026, 4:36 p.m. |
Created at: May 3, 2026, 4:13 p.m.