Triple
T5571266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tioga Lake Campground |
E146206
|
entity |
| Predicate | proximityToEntrance |
P53174
|
FINISHED |
| Object | near east entrance of Yosemite National Park |
—
|
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: near east entrance of Yosemite National Park | Statement: [Tioga Lake Campground, proximityToEntrance, near east entrance of Yosemite National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proximityToEntrance Context triple: [Tioga Lake Campground, proximityToEntrance, near east entrance of Yosemite National Park]
-
A.
nearestEntrance
Indicates that one entrance is the closest access point to a given location or entity compared to all other possible entrances.
-
B.
proximityToLandmark
chosen
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
C.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
D.
isCloseTo
Indicates that one entity is physically or conceptually near another, within a relatively short distance or range.
-
E.
nearPass
Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.