Triple
T2841165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convict Lake |
E62469
|
entity |
| Predicate | countyParkOrArea |
P42965
|
FINISHED |
| Object | Inyo National Forest vicinity |
—
|
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: Inyo National Forest vicinity | Statement: [Convict Lake, countyParkOrArea, Inyo National Forest vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countyParkOrArea Context triple: [Convict Lake, countyParkOrArea, Inyo National Forest vicinity]
-
A.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
B.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
C.
parkUnit
Indicates that one entity is a designated unit, component, or subdivision within a larger park or park system.
-
D.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
-
E.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf16d0c08190bb8de4a4160b4414 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde4895dc819097c396c5d31ac1d1 |
completed | March 7, 2026, 8:14 a.m. |
Created at: March 6, 2026, 10:01 p.m.