Triple

T4507625
Position Surface form Disambiguated ID Type / Status
Subject Texas State Highway 78 E101371 entity
Predicate passesThrough P225 FINISHED
Object Ravenna, Texas E489437 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: Ravenna, Texas | Statement: [Texas State Highway 78, passesThrough, Ravenna, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravenna, Texas
Context triple: [Texas State Highway 78, passesThrough, Ravenna, Texas]
  • A. Ravenna, Texas chosen
    Ravenna, Texas is a small unincorporated rural community located in Fannin County in northeastern Texas.
  • B. Richmond, Texas
    Richmond, Texas is a historic city in Fort Bend County, part of the Greater Houston metropolitan area, known for its 19th-century roots and role in early Texas history.
  • C. 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.”
  • D. Rhome, Texas
    Rhome, Texas is a small city in North Texas that serves as a rural community within the Dallas–Fort Worth metropolitan area.
  • E. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570e7bb8819097f7a575384a10a8 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba400cd88190a2348ec3ac6b711e completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:01 p.m.