Triple
T12043658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Grant Tree |
E286728
|
entity |
| Predicate | circumferenceAtGround |
P5331
|
FINISHED |
| Object | about 107 feet |
—
|
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: about 107 feet | Statement: [General Grant Tree, circumferenceAtGround, about 107 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circumferenceAtGround Context triple: [General Grant Tree, circumferenceAtGround, about 107 feet]
-
A.
baseCircumference
Indicates the circumference measurement of the base of an object or geometric figure.
-
B.
circumference
chosen
Indicates the total length around the boundary of a closed curve, typically a circle, relating a shape to the measure of its perimeter.
-
C.
wheelDiameter
Indicates the size of a wheel measured across its diameter.
-
D.
wheelHeightApprox
Indicates that the height of a wheel is approximately equal to a specified value or to the height of another wheel.
-
E.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.