Triple

T19053215
Position Surface form Disambiguated ID Type / Status
Subject Wharton, Texas E466318 entity
Predicate hasNearbyCity P350 FINISHED
Object Rosenberg, Texas E448246 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: Rosenberg, Texas | Statement: [Wharton, Texas, hasNearbyCity, Rosenberg, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosenberg, Texas
Context triple: [Wharton, Texas, hasNearbyCity, Rosenberg, Texas]
  • A. Rosenberg, Texas chosen
    Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
  • B. Rosharon, Texas
    Rosharon, Texas is a small unincorporated community in Brazoria County that functions as an exurban area within the greater Houston metropolitan region.
  • C. Rosser, Texas
    Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
  • D. Rosston, Texas
    Rosston, Texas is a small unincorporated rural community located in Cooke County in north-central Texas.
  • E. Reagan, Texas
    Reagan, Texas is a small unincorporated rural community located in Falls County in central Texas.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc03dfa08190924a1b8073364fa1 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8225ce388190acc6599a1ebcb248 completed May 19, 2026, 3:30 p.m.
Created at: April 10, 2026, 12:03 p.m.