Triple
T26857745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hålogaland Bridge |
E676240
|
entity |
| Predicate | rankInNorwayByMainSpan |
P170363
|
FINISHED |
| Object | among the longest suspension bridges |
—
|
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: among the longest suspension bridges | Statement: [Hålogaland Bridge, rankInNorwayByMainSpan, among the longest suspension bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInNorwayByMainSpan Context triple: [Hålogaland Bridge, rankInNorwayByMainSpan, among the longest suspension bridges]
-
A.
bridgeSpans
Indicates that a bridge extends across and connects two separate points or areas.
-
B.
lengthInNorway
Indicates that the specified length measurement is taken or defined according to standards, conditions, or context specific to Norway.
-
C.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
D.
numberOfSuspensionBridges
Indicates the count of suspension bridges associated with a given entity or within a specified context.
-
E.
wasWorldsLongestSuspensionBridgeSpan
Indicates that something held the record for having the longest main span of any suspension bridge in the world at a given time.
- F. None of above. chosen
Provenance (4 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 27, 2026, 5:22 a.m.