Triple
T1927435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Motherland Calls |
E40863
|
entity |
| Predicate | heightOfFigureOnly |
P9788
|
FINISHED |
| Object | approximately 52 m |
—
|
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 52 m | Statement: [The Motherland Calls, heightOfFigureOnly, approximately 52 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfFigureOnly Context triple: [The Motherland Calls, heightOfFigureOnly, approximately 52 m]
-
A.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
-
B.
largestFigureLengthApprox
Indicates an approximate measurement of the length of the largest figure involved in the relationship or context.
-
C.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
D.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
E.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb263cdb8819084d0bda98a2a71e0 |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.