Triple

T13141585
Position Surface form Disambiguated ID Type / Status
Subject Lake Jackson, Texas E312221 entity
Predicate nearbyCity P350 FINISHED
Object Richwood, Texas E479237 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: Richwood, Texas | Statement: [Lake Jackson, Texas, nearbyCity, Richwood, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richwood, Texas
Context triple: [Lake Jackson, Texas, nearbyCity, Richwood, Texas]
  • A. Richwood, Texas chosen
    Richwood, Texas is a small city in Brazoria County that forms part of the Greater Houston metropolitan region.
  • B. Goodrich, Texas
    Goodrich, Texas is a small rural city in East Texas known for its close-knit community and location near Lake Livingston.
  • C. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • D. Rockett, Texas
    Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
  • E. La Joya, Texas
    La Joya, Texas is a small city in South Texas near the U.S.–Mexico border, known for its proximity to the Rio Grande and its role in the greater McAllen–Edinburg–Mission metropolitan region.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b84f1081908b9e2d54a64d4c2d completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe729766008190803c1dfef2c8c872 completed May 8, 2026, 11:32 p.m.
Created at: April 9, 2026, 9:10 p.m.