Triple
T27680317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Falls |
E697889
|
entity |
| Predicate | featureHeightApprox |
P8302
|
FINISHED |
| Object | about 132 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 132 feet | Statement: [Tower Falls, featureHeightApprox, about 132 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureHeightApprox Context triple: [Tower Falls, featureHeightApprox, about 132 feet]
-
A.
heightEstimate
Indicates an estimated or approximate value for the height of an entity, rather than a precisely measured height.
-
B.
heightApproximateFeet
chosen
Indicates that one entity’s height is approximately equal to a specified value measured in feet.
-
C.
depthMetresApprox
Indicates an approximate measurement of how deep something is in metres, rather than an exact value.
-
D.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
E.
approximateMaximumHeight
Indicates the estimated upper limit of an entity’s height, rather than an exact measured value.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 27, 2026, 2:46 p.m.