Triple

T1662545
Position Surface form Disambiguated ID Type / Status
Subject City of Newton, Massachusetts E35940 entity
Predicate hasVillage P4011 FINISHED
Object Nonantum E59236 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: Nonantum | Statement: [City of Newton, Massachusetts, hasVillage, Nonantum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nonantum
Context triple: [City of Newton, Massachusetts, hasVillage, Nonantum]
  • A. Nonantum chosen
    Nonantum is a village in Newton, Massachusetts, known for its dense residential character, historic Italian-American community, and proximity to the Charles River.
  • B. Squantum
    Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
  • C. .no
    .no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
  • D. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • E. NA
    NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab3bd7081908d15d772b10aebbe completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682d968081909494920f3a7ea3af completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.