Triple
T29530755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equestrian statue of Francesco Sforza |
E749194
|
entity |
| Predicate | destroyedPart |
P167973
|
FINISHED |
| Object | full‑scale clay model |
—
|
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: full‑scale clay model | Statement: [Equestrian statue of Francesco Sforza, destroyedPart, full‑scale clay model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destroyedPart Context triple: [Equestrian statue of Francesco Sforza, destroyedPart, full‑scale clay model]
-
A.
destroyedMaterial
Indicates that one entity has caused the damage, ruin, or elimination of another entity or material.
-
B.
partiallyDestroyed
Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
-
C.
destroyedFor
Indicates that one entity was ruined, eliminated, or rendered unusable specifically for the benefit, purpose, or objective of another entity.
-
D.
dismantledBy
Indicates that something has been taken apart, disassembled, or broken down by a particular agent or entity.
-
E.
partlyDismantledBy
Indicates that an entity has been only partially taken apart, removed, or deconstructed by another agent or process.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 4:52 p.m.