Triple
T32200175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oléron bridge |
E822509
|
entity |
| Predicate | hasMaximumSpan |
P4063
|
FINISHED |
| Object | about 58 m |
—
|
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 58 m | Statement: [Oléron bridge, hasMaximumSpan, about 58 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumSpan Context triple: [Oléron bridge, hasMaximumSpan, about 58 m]
-
A.
hasMainSpanLength
chosen
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
B.
hasMaximumValue
Indicates that one value in a set is the greatest or highest possible according to a specified criterion.
-
C.
largestSpan
Indicates that the referenced entity has the greatest extent or coverage (in distance, time, or range) among a set of comparable spans.
-
D.
hasSpanFunction
Indicates that one entity serves as a functional span or coverage over another entity, defining how it extends across or applies to that other entity.
-
E.
hasMaximumLength
Indicates that there is an upper limit on the length or size of something, beyond which it cannot extend.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: May 1, 2026, 12:36 a.m.