Triple
T16945427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheltowee Trace National Recreation Trail |
E411054
|
entity |
| Predicate | hasBlazeColor |
P85337
|
FINISHED |
| Object | white turtle blaze |
—
|
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: white turtle blaze | Statement: [Sheltowee Trace National Recreation Trail, hasBlazeColor, white turtle blaze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBlazeColor Context triple: [Sheltowee Trace National Recreation Trail, hasBlazeColor, white turtle blaze]
-
A.
hasChargeColor
Indicates that one entity is associated with a particular color used to represent its electric charge or charge state.
-
B.
hasPylonColor
Indicates that an entity (such as a pylon or structure) possesses a specific color as one of its attributes.
-
C.
containsColor
chosen
Indicates that one entity includes or exhibits the color specified by another entity.
-
D.
hasCapColor
Indicates that an entity possesses a cap whose color is specified by the related value.
-
E.
hasFanColor
Indicates that an entity (typically a fan or fan-like object) possesses a specific color attribute.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb14b788190be5b7f9c00c3e7ea |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.