Triple
T15998151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humber Bridge |
E388026
|
entity |
| Predicate | wasWorldsLongestSuspensionSpan |
P41916
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Humber Bridge, wasWorldsLongestSuspensionSpan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasWorldsLongestSuspensionSpan Context triple: [Humber Bridge, wasWorldsLongestSuspensionSpan, true]
-
A.
wasWorldsLongestSuspensionBridgeSpan
chosen
Indicates that something held the record for having the longest main span of any suspension bridge in the world at a given time.
-
B.
wasWorldsLongestConcreteArchSpan
Indicates that something held the record for being the world's longest concrete arch span.
-
C.
wasWorldsLongestCableStayedBridgeAtOpening
Indicates that the bridge held the record as the world’s longest cable-stayed bridge at the time it was opened.
-
D.
bridgeSpans
Indicates that a bridge extends across and connects two separate points or areas.
-
E.
hasSkyBridgeLength
Indicates the length measurement of a sky bridge connecting two structures or areas.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.