Triple
T26864153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plateau Point Trail |
E676417
|
entity |
| Predicate | isDayUseDestinationFor |
P110503
|
FINISHED |
| Object | Bright Angel Trail hikers |
—
|
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: Bright Angel Trail hikers | Statement: [Plateau Point Trail, isDayUseDestinationFor, Bright Angel Trail hikers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDayUseDestinationFor Context triple: [Plateau Point Trail, isDayUseDestinationFor, Bright Angel Trail hikers]
-
A.
isDayUseOnly
Indicates that the entity may only be used or accessed during daytime hours and not overnight.
-
B.
isResortDestinationFor
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
-
C.
hasDayUseArea
chosen
Indicates that a location or facility includes an area designated for daytime, non-overnight public use.
-
D.
dayUse
Indicates that something is intended or permitted to be used during the daytime.
-
E.
isAttractionFor
Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61e961a7c81908c3a7f6aebaf1242 |
completed | May 2, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:27 a.m.