Triple
T15223223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Pavilion (1937 Paris Exposition) |
E363812
|
entity |
| Predicate | heightOfMainSculpture |
P1724
|
FINISHED |
| Object | approximately 24.5 metres |
—
|
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: approximately 24.5 metres | Statement: [Soviet Pavilion (1937 Paris Exposition), heightOfMainSculpture, approximately 24.5 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfMainSculpture Context triple: [Soviet Pavilion (1937 Paris Exposition), heightOfMainSculpture, approximately 24.5 metres]
-
A.
statueHeight
chosen
Indicates the height measurement of a statue in some specified unit.
-
B.
hasAltarpieceHeight
Indicates the relationship specifying the height measurement of an altarpiece.
-
C.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
D.
statueWeight
Indicates that a statue has a specific weight or mass.
-
E.
largestFigureLengthApprox
Indicates an approximate measurement of the length of the largest figure involved in the relationship or 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.