Triple
T8715907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaillard Cut |
E206892
|
entity |
| Predicate | minimumWidthBeforeWidening |
P12977
|
FINISHED |
| Object | about 91 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: about 91 meters | Statement: [Gaillard Cut, minimumWidthBeforeWidening, about 91 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumWidthBeforeWidening Context triple: [Gaillard Cut, minimumWidthBeforeWidening, about 91 meters]
-
A.
minimumWidth
chosen
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
B.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the given context.
-
C.
sectionWidthGranted
Indicates that a specific width has been allocated or approved for a section within a layout or structure.
-
D.
hasApproximateMaximumWidth
Indicates that an entity’s maximum width is known only approximately, rather than as an exact value.
-
E.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd807cc819090b58caf285b397a |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.