Triple

T3486326
Position Surface form Disambiguated ID Type / Status
Subject Suwannee River E73614 entity
Predicate passesNear P416 FINISHED
Object Branford, Florida E127633 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: Branford, Florida | Statement: [Suwannee River, passesNear, Branford, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branford, Florida
Context triple: [Suwannee River, passesNear, Branford, Florida]
  • A. Branford, Florida chosen
    Branford, Florida is a small town in northern Florida known for its location along the Suwannee River and its rural, close-knit community.
  • B. Poinciana, Florida
    Poinciana, Florida is a large, master-planned residential community in Central Florida known for its rapid growth and proximity to the Orlando–Kissimmee metropolitan area.
  • C. Baldwin, Florida
    Baldwin, Florida is a small town in northeastern Florida that serves as a rural community within the Jacksonville metropolitan area.
  • D. Valparaiso, Florida
    Valparaiso, Florida is a small city in Okaloosa County in Florida’s Panhandle, known for its proximity to Eglin Air Force Base and the Choctawhatchee Bay.
  • E. Sandestin, Florida
    Sandestin, Florida is a master-planned resort community on the Gulf Coast known for its beaches, golf courses, and vacation amenities.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb9059f881908f9cbe544365c8df completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daeff8c0819097e60f893e6669d5 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:18 p.m.