Triple
T28590854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Buddha of Kamakura |
E723638
|
entity |
| Predicate | heightWithoutBase |
P9788
|
FINISHED |
| Object | approximately 11.3 meters |
—
|
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 11.3 meters | Statement: [Great Buddha of Kamakura, heightWithoutBase, approximately 11.3 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightWithoutBase Context triple: [Great Buddha of Kamakura, heightWithoutBase, approximately 11.3 meters]
-
A.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
C.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
D.
heightDescription
Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
-
E.
heightClass
Indicates the categorical height level or range to which an entity is assigned (e.g., short, medium, tall).
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:20 a.m.