Triple
T19490344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loveland Pass |
E487630
|
entity |
| Predicate | hasHairpinTurns |
P52595
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Loveland Pass, hasHairpinTurns, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHairpinTurns Context triple: [Loveland Pass, hasHairpinTurns, yes]
-
A.
hasNumberOfHairpinTurns
Indicates the quantity of hairpin turns associated with an entity, such as a road or path.
-
B.
hasHairpinBends
chosen
Indicates that a route, road, or path includes very sharp, U-shaped turns resembling hairpins.
-
C.
hasTwist
Indicates that an entity (such as a story, object, or feature) includes an unexpected change, reversal, or surprising element relative to what was previously established or anticipated.
-
D.
hasSpiralPattern
Indicates that one entity exhibits or possesses a spiral-shaped pattern or arrangement in relation to another.
-
E.
hasVerticalLoops
Indicates that one entity features or includes vertical loop structures in its form, design, or configuration.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348d43448190bf83680522b8b415 |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.