Triple

T18617498
Position Surface form Disambiguated ID Type / Status
Subject Pilsen E455067 entity
Predicate adjacentTo P224 FINISHED
Object Little Village 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: Little Village | Statement: [Pilsen, adjacentTo, Little Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Village
Context triple: [Pilsen, adjacentTo, Little Village]
  • A. Little Village chosen
    Little Village is a predominantly Mexican-American neighborhood on Chicago’s West Side known for its vibrant street life, cultural festivals, and bustling 26th Street commercial corridor.
  • B. Village Star
    Village Star was a Thoroughbred racehorse best known as the sire of the legendary National Hunt champion Kauto Star.
  • C. I and the Village
    I and the Village is a 1911 Cubist-influenced, dreamlike painting by Marc Chagall that depicts fantastical scenes of his childhood village in a vivid, symbolic style.
  • D. Out of the Village
    Out of the Village is a drama film that follows two siblings in a West African village grappling with the impact of an Ebola outbreak.
  • E. Red Town
    Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d06c1f8819094fbfa56eca07eaa completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:46 a.m.