Triple

T18306190
Position Surface form Disambiguated ID Type / Status
Subject Hannibal, Texas E438489 entity
Predicate name P16 FINISHED
Object Hannibal, Texas NE NERFINISHED

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: Hannibal, Texas | Statement: [Hannibal, Texas, name, Hannibal, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannibal, Texas
Context triple: [Hannibal, Texas, name, Hannibal, Texas]
  • A. Hannibal, Texas chosen
    Hannibal, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
  • B. Hutto, Texas
    Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
  • C. Hamlin, Texas
    Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
  • D. Malakoff, Texas
    Malakoff, Texas is a small city in East Texas known historically for its brick manufacturing and proximity to Cedar Creek Reservoir.
  • E. Van Horn, Texas
    Van Horn, Texas is a small town in far West Texas that serves as a regional crossroads and gateway community along major highways and near the Chihuahuan Desert.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50183394081909b86cefaaa0a3aa8 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.