Triple
T23751434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hooker Valley Track |
E586980
|
entity |
| Predicate | numberOfSuspensionBridges |
P153549
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Hooker Valley Track, numberOfSuspensionBridges, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSuspensionBridges Context triple: [Hooker Valley Track, numberOfSuspensionBridges, 3]
-
A.
numberOfSwingBridges
Indicates the quantity of swing bridges associated with or present in a given context or entity.
-
B.
bridgeSpans
Indicates that a bridge extends across and connects two separate points or areas.
-
C.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
D.
wasWorldsLongestSuspensionBridgeSpan
Indicates that something held the record for having the longest main span of any suspension bridge in the world at a given time.
-
E.
bridgeStructure
Indicates a structural relationship where one entity functions as a bridge that spans or connects two separate points or areas.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc289e08190a8036bb16dd0220a |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:13 p.m.