Triple
T4024538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleon took the Quadriga to Paris in 1806 |
E91358
|
entity |
| Predicate | objectTypeRemoved |
P16758
|
FINISHED |
| Object | bronze quadriga sculpture |
—
|
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: bronze quadriga sculpture | Statement: [Napoleon took the Quadriga to Paris in 1806, objectTypeRemoved, bronze quadriga sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectTypeRemoved Context triple: [Napoleon took the Quadriga to Paris in 1806, objectTypeRemoved, bronze quadriga sculpture]
-
A.
removedFrom
chosen
Indicates that one entity has been taken away, extracted, or detached from another entity or context.
-
B.
notableObject
Indicates that an entity is especially significant, famous, or noteworthy as an object in a given context or domain.
-
C.
featureRemoved
Indicates that a previously existing feature has been taken out, disabled, or is no longer available.
-
D.
canBeRemovedBy
Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
-
E.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefacfb23081909a46878adb90ea6c |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.