Triple

T10616360
Position Surface form Disambiguated ID Type / Status
Subject Hendry County E276129 entity
Predicate hasBorderWith P224 FINISHED
Object Glades County E285349 NE 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: Glades County | Statement: [Hendry County, hasBorderWith, Glades County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glades County
Context triple: [Hendry County, hasBorderWith, Glades County]
  • A. Glades County chosen
    Glades County is a rural county in southern Florida known for its location along the western shore of Lake Okeechobee and its agricultural and natural landscapes.
  • B. Levy County
    Levy County is a rural county in Florida known for its Gulf Coast shoreline, small towns, and natural springs and forests.
  • C. Suwannee County
    Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
  • D. Hendry County
    Hendry County is a rural county in southern Florida known for its agricultural economy and small communities near Lake Okeechobee.
  • E. Bailey County
    Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6d76dc8190bd8d481fed3225d9 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a2c8a048190b9a62f1c68ac217a completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 7:33 p.m.