Triple
T8390336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Trail |
E197926
|
entity |
| Predicate | usesTrailBlazeColor |
P14031
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [Yellow Trail, usesTrailBlazeColor, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTrailBlazeColor Context triple: [Yellow Trail, usesTrailBlazeColor, yellow]
-
A.
colorOfTrailMarkings
chosen
Indicates the relationship specifying what color the trail’s markings are.
-
B.
hasColorOnRouteMap
Indicates that a specific color is used to represent an entity (such as a route or line) on a route map.
-
C.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
-
D.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
E.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810c5c5c81908e124c64911c4e6c |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:03 p.m.