Triple
T32825607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torre Grossa |
E839546
|
entity |
| Predicate | tallestStructureIn |
P57478
|
FINISHED |
| Object | San Gimignano |
—
|
NE NERFINISHED |
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: San Gimignano | Statement: [Torre Grossa, tallestStructureIn, San Gimignano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tallestStructureIn Context triple: [Torre Grossa, tallestStructureIn, San Gimignano]
-
A.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
B.
oneOfTallestStructuresIn
Indicates that an entity is among the tallest structures located within a specified place or region.
-
C.
isTallestStructureIn
chosen
Indicates that the subject is the tallest structure located within the specified place or area.
-
D.
approximateHeightOfTallestStructure
Indicates the estimated height value associated with the tallest structure in a given context or set.
-
E.
centralMonumentHeight
Indicates the height measurement of a central monument in a given context or location.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.