Triple

T6490383
Position Surface form Disambiguated ID Type / Status
Subject Woodland, Georgia E148019 entity
Predicate hasOfficialName P66 FINISHED
Object Woodland, Georgia E148019 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: Woodland, Georgia | Statement: [Woodland, Georgia, hasOfficialName, Woodland, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodland, Georgia
Context triple: [Woodland, Georgia, hasOfficialName, Woodland, Georgia]
  • A. Woodland, Georgia chosen
    Woodland, Georgia is a small city in west-central Georgia known for its rural character and location within Talbot County.
  • B. Oakwood, Georgia
    Oakwood, Georgia is a small city in Hall County that forms part of the Gainesville metropolitan area in the northern region of the state.
  • C. Woodbury, Georgia
    Woodbury, Georgia is a small city in Meriwether County known for its rural character and historic railroad and agricultural roots in west-central Georgia.
  • D. Wildwood, Georgia
    Wildwood, Georgia is a small unincorporated community in Dade County near the northwest corner of the state, close to the Tennessee and Alabama borders.
  • E. Woodville, Georgia
    Woodville, Georgia is a small historic town in Greene County known for its rural character and ties to Georgia’s early settlement history.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9a8d8481908d88e5c9f0c773f7 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bcb63081908be29abd0084d266 completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:53 p.m.