Triple
T29899441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pazzi family |
E759369
|
entity |
| Predicate | hasAncestralPalace |
P180042
|
FINISHED |
| Object | Palazzo Pazzi |
—
|
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: Palazzo Pazzi | Statement: [Pazzi family, hasAncestralPalace, Palazzo Pazzi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAncestralPalace Context triple: [Pazzi family, hasAncestralPalace, Palazzo Pazzi]
-
A.
hasImperialPalace
Indicates that an entity possesses or is the location of an official imperial palace.
-
B.
hasNumberOfPalaces
Indicates the specific count of palaces associated with an entity.
-
C.
hasMunicipalPalaceIn
Indicates that a municipality possesses or is associated with a municipal palace located in the specified place.
-
D.
containsPresidentialPalace
Indicates that a location or area includes within its boundaries a building that serves as a presidential palace.
-
E.
palaceLocatedIn
Indicates that a palace is situated within or belongs to a specific geographic or administrative location.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 29, 2026, 6:06 p.m.