Triple
T34459007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irohazaka Winding Road |
E884581
|
entity |
| Predicate | numberOfHairpinTurns |
P17038
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [Irohazaka Winding Road, numberOfHairpinTurns, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHairpinTurns Context triple: [Irohazaka Winding Road, numberOfHairpinTurns, 48]
-
A.
hasNumberOfHairpinTurns
chosen
Indicates the quantity of hairpin turns associated with an entity, such as a road or path.
-
B.
hasHairpinBends
Indicates that a route, road, or path includes very sharp, U-shaped turns resembling hairpins.
-
C.
hairpinsNumberedFrom
Indicates that a set of hairpins is assigned distinct identifiers or positions according to a specific numbering scheme.
-
D.
numberOfHumps
Indicates the quantity of humps possessed by an entity.
-
E.
twistCount
Indicates the number of twists or rotational turns applied or present in the relationship between the related entities.
- 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2 a.m.