Triple

T2687926
Position Surface form Disambiguated ID Type / Status
Subject Waban station E57528 entity
Predicate servesNeighborhood P82 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: [Waban station, servesNeighborhood, Waban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waban
Context triple: [Waban station, servesNeighborhood, 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. Lake River
    Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
  • C. Clam River
    Clam River is a smaller river in Michigan that serves as a tributary within the Muskegon River watershed.
  • D. Vuoksi River
    The Vuoksi River is a major waterway in northwestern Russia and southeastern Finland, known for connecting Lake Saimaa to Lake Ladoga and playing a key historical and economic role in the region.
  • E. Winnicut River
    The Winnicut River is a small coastal river in southeastern New Hampshire that flows through towns like Greenland and North Hampton before reaching Great Bay.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f1ba3081909a349a2f30f8f9c9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69b503cf9f8881908dc371d5acb952cf completed March 14, 2026, 6:44 a.m.
Created at: March 6, 2026, 9:54 p.m.