Triple
T5571313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juab County, Utah |
E146207
|
entity |
| Predicate | isMostlyPublicLand |
P58972
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Juab County, Utah, isMostlyPublicLand, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostlyPublicLand Context triple: [Juab County, Utah, isMostlyPublicLand, true]
-
A.
isPublicLand
Indicates that a given area of land is owned or managed by a government or public authority and is accessible or designated for use by the general public.
-
B.
percentagePublicLand
Indicates the proportion of land within a given area that is owned or managed by public authorities rather than private entities.
-
C.
hasExtensivePublicLands
chosen
Indicates that a place or jurisdiction possesses a large amount of land designated for public use, such as parks, forests, or other publicly managed open spaces.
-
D.
hasLandStatus
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
E.
isInLand
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
- 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.