Triple
T25749895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hahn/Cock |
E648444
|
entity |
| Predicate | displayedOnFourthPlinthFrom |
P52188
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Hahn/Cock, displayedOnFourthPlinthFrom, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayedOnFourthPlinthFrom Context triple: [Hahn/Cock, displayedOnFourthPlinthFrom, 2013]
-
A.
hasPlinth
chosen
Indicates that one object is supported by or mounted on a plinth (a base or pedestal).
-
B.
locatedOnLevel
Indicates that one entity is situated on a specific floor or level within a multi-level structure or system.
-
C.
positionOfStatue
Indicates the spatial location where a statue is situated or placed.
-
D.
partOfSkylineOf
Indicates that one entity is a visible component or feature contributing to the overall skyline profile of another entity, typically a city or urban area.
-
E.
exhibitedBeforeInstallationAt
Indicates that an item was publicly displayed or shown prior to being installed at a particular location or in a specific context.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd7df2ac8190a206646c8640cec0 |
completed | May 2, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 4:33 a.m.