Triple

T18070092
Position Surface form Disambiguated ID Type / Status
Subject Falls County E432401 entity
Predicate containsSettlement P847 FINISHED
Object Marlin, 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: Marlin, Texas | Statement: [Falls County, containsSettlement, Marlin, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlin, Texas
Context triple: [Falls County, containsSettlement, Marlin, Texas]
  • A. Marlin, Texas chosen
    Marlin, Texas is a small central Texas city in Falls County historically known as a spa town for its mineral hot springs.
  • B. Snook, Texas
    Snook, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
  • C. Seabrook, Texas
    Seabrook, Texas is a coastal city in the Greater Houston metropolitan area known for its waterfront along Galveston Bay, marinas, and proximity to the NASA Johnson Space Center.
  • D. Murchison, Texas
    Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
  • E. Lantana, Texas
    Lantana, Texas is a master-planned residential community in Denton County known for its suburban neighborhoods, golf course, and family-oriented amenities within the Dallas–Fort Worth metroplex.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cced29fc81908e87b4f1990fa0d8 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.