Triple

T18860533
Position Surface form Disambiguated ID Type / Status
Subject Laurent Landi E461299 entity
Predicate workLocation P7 FINISHED
Object Spring, 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: Spring, Texas | Statement: [Laurent Landi, workLocation, Spring, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spring, Texas
Context triple: [Laurent Landi, workLocation, Spring, Texas]
  • A. Spring, Texas chosen
    Spring, Texas is a suburban community in the Greater Houston area known for its residential neighborhoods, proximity to major employment centers, and attractions like Old Town Spring.
  • B. Springfield, Texas
    Springfield, Texas is a small unincorporated community in the United States, historically known as an early county seat that later declined and largely disappeared.
  • C. Springtown, Texas
    Springtown, Texas is a small rural city in North Texas known for its close-knit community and location within the Dallas–Fort Worth metropolitan area.
  • D. Tell, Texas
    Tell, Texas is a small unincorporated rural community located in the Texas Panhandle region of the United States.
  • 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 (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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c060bfc4819092ac591692a6ccd5 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.