Triple
T6813948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Current Swing Bridge |
E156704
|
entity |
| Predicate | hasApproximateMainSpanLength |
P4063
|
FINISHED |
| Object | approximately 112 metres |
—
|
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 112 metres | Statement: [Little Current Swing Bridge, hasApproximateMainSpanLength, approximately 112 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateMainSpanLength Context triple: [Little Current Swing Bridge, hasApproximateMainSpanLength, approximately 112 metres]
-
A.
hasMainSpanLength
chosen
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
B.
hasMaxLengthApprox
Indicates that something has a maximum length that is approximately equal to a specified value, allowing for some tolerance or imprecision.
-
C.
isMajorSpanOf
Indicates that one span or segment constitutes the primary or most significant portion of another span.
-
D.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
-
E.
hasApproximateEnd
Indicates that an entity’s end point, time, or boundary is known only approximately rather than precisely.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d32b012481909b73784899ec2a0d |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:17 p.m.