Triple
T31146174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Rim Road |
E793928
|
entity |
| Predicate | entranceStation |
P101784
|
FINISHED |
| Object | North Rim Ranger Station |
—
|
NE NERFINISHED |
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: North Rim Ranger Station | Statement: [North Rim Road, entranceStation, North Rim Ranger Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entranceStation Context triple: [North Rim Road, entranceStation, North Rim Ranger Station]
-
A.
hasSubwayStationEntrance
Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
-
B.
parkEntranceStation
chosen
Indicates that a location functions as an entrance station or access point for a park.
-
C.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
D.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
E.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:06 p.m.