Triple

T15183276
Position Surface form Disambiguated ID Type / Status
Subject Richardson Field E362801 entity
Predicate locatedIn P40 FINISHED
Object Waban E74135 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: Waban | Statement: [Richardson Field, locatedIn, Waban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waban
Context triple: [Richardson Field, locatedIn, Waban]
  • A. Waban chosen
    Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
  • B. Clear River
    Clear River is a Canadian waterway that serves as a tributary of the Peace River within the Peace River watershed.
  • C. Clear River
    Clear River is a small river in Rhode Island that flows through the town of Burrillville and contributes to the region’s local watershed and natural landscape.
  • D. Maple River
    Maple River is a freshwater river in central Michigan known for flowing through rural landscapes and supporting local recreation and wildlife habitats.
  • E. Thief River
    Thief River is a tributary stream in northwestern Minnesota that flows into the Red Lake River and helps drain the surrounding agricultural and wetland areas.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006663ad48190986b680001be0e9b completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 3:09 a.m.