Triple

T4082634
Position Surface form Disambiguated ID Type / Status
Subject Richmond, Texas E87510 entity
Predicate nearbyCity 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: [Richmond, Texas, nearbyCity, Rosenberg, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosenberg, Texas
Context triple: [Richmond, Texas, nearbyCity, 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. Roanoke, Texas
    Roanoke, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its historic downtown and designation as the “Unique Dining Capital of 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7933b481909bb3e02c6c04c8ee completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2196e8e88190b8da71ecfb07dfc8 completed March 21, 2026, 10:54 p.m.
Created at: March 9, 2026, 3:39 p.m.