Triple
T34934689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiley Creek, Idaho |
E1007532
|
entity |
| Predicate | nearestMajorRecreationArea |
P182456
|
FINISHED |
| Object | Redfish Lake area |
—
|
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: Redfish Lake area | Statement: [Smiley Creek, Idaho, nearestMajorRecreationArea, Redfish Lake area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorRecreationArea Context triple: [Smiley Creek, Idaho, nearestMajorRecreationArea, Redfish Lake area]
-
A.
nearestArea
Indicates that one area is the closest in distance to a given reference point or region compared to all other candidate areas.
-
B.
nearestMajorProtectedArea
Indicates the closest significant legally protected natural area to a given location or entity.
-
C.
nearestMajorArea
Indicates the relationship where a given location is associated with the closest significant geographic or administrative area.
-
D.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
E.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
- F. None of above. chosen
Provenance (4 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4 p.m.