Triple
T5349293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Trail (Cape May Point State Park) |
E124133
|
entity |
| Predicate | waymarkedBy |
P47567
|
FINISHED |
| Object | yellow blazes |
—
|
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 blazes | Statement: [Yellow Trail (Cape May Point State Park), waymarkedBy, yellow blazes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waymarkedBy Context triple: [Yellow Trail (Cape May Point State Park), waymarkedBy, yellow blazes]
-
A.
trailsMarkedBy
chosen
Indicates that a trail or path is designated or identified by specific markers, signs, or blazes placed along its route.
-
B.
hasTouristSignage
Indicates that there is official signage present to guide or inform tourists about a place, route, or attraction.
-
C.
mapSymbol
Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
-
D.
mapDesignation
Indicates a formal label or identifier that is assigned to something specifically for use on a map.
-
E.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860ea7088190ad7be14132927d17 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.