Triple
T2738735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara Falls Suspension Bridge |
E60694
|
entity |
| Predicate | mainSpan |
P4063
|
FINISHED |
| Object | about 821 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 821 feet | Statement: [Niagara Falls Suspension Bridge, mainSpan, about 821 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSpan Context triple: [Niagara Falls Suspension Bridge, mainSpan, about 821 feet]
-
A.
hasMainSpanLength
chosen
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
B.
mainSingle
Indicates that an entity is the primary or sole main instance among a set of related entities.
-
C.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
-
D.
mainIndex
Indicates that one entity serves as the primary or central index or reference point for another entity within a structured system.
-
E.
mainLine
Indicates that something serves as the primary or central line, route, or sequence among a set of related lines.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.