Triple

T11847006
Position Surface form Disambiguated ID Type / Status
Subject eastern Louisiana E281803 entity
Predicate contains P35 FINISHED
Object Washington Parish E775878 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: Washington Parish | Statement: [eastern Louisiana, contains, Washington Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington Parish
Context triple: [eastern Louisiana, contains, Washington Parish]
  • A. Jackson Parish
    Jackson Parish is a rural parish in northern Louisiana known for its small communities, forestry, and agricultural activities.
  • B. Douglas Parish
    Douglas Parish is a historic ecclesiastical and civil parish in South Lanarkshire, Scotland, centered on the village of Douglas and long associated with the Douglas family.
  • C. Lincoln Parish
    Lincoln Parish is a north-central Louisiana parish known for its seat in Ruston and as home to Louisiana Tech University.
  • D. Washington Parish, Louisiana chosen
    Washington Parish, Louisiana is a largely rural parish in the southeastern part of the state known for its pine forests, small towns like Bogalusa and Franklinton, and location along the Mississippi border.
  • E. Franklin Parish
    Franklin Parish is a rural parish in northeastern Louisiana known for its agriculture-based economy and small-town communities.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65c72088190b8de9550c455b788 completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f668479b188190ae720e77fbf6897f completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:43 p.m.