Triple

T7387105
Position Surface form Disambiguated ID Type / Status
Subject DOCO E170407 entity
Predicate fullName P16 FINISHED
Object Downtown Commons E29763 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: Downtown Commons | Statement: [DOCO, fullName, Downtown Commons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Commons
Context triple: [DOCO, fullName, Downtown Commons]
  • A. Cornerstone Square
    Cornerstone Square is a major retail and commercial shopping center located in Westford, Massachusetts.
  • B. Downtown Commons (DOCO) chosen
    Downtown Commons (DOCO) is a major mixed-use entertainment, shopping, and dining district in downtown Sacramento anchored by the Golden 1 Center arena.
  • C. Riverfront Plaza
    Riverfront Plaza is a public riverfront park and event space in downtown Hartford, Connecticut, featuring walkways, performance areas, and scenic views along the Connecticut River.
  • D. Civic Center
    Civic Center is a government and administrative district in Lower Manhattan known for its concentration of courthouses and municipal buildings.
  • E. Downtown Center
    Downtown Center is an urban Broward College campus location serving students in the heart of downtown with higher-education programs and services.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f2bac481908ac74069182a4ce4 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810e879e88190a421409194868587 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:08 p.m.