Triple

T1826578
Position Surface form Disambiguated ID Type / Status
Subject ARMIR E40666 entity
Predicate location P40 FINISHED
Object Don River front E42263 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: Don River front | Statement: [ARMIR, location, Don River front]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don River front
Context triple: [ARMIR, location, Don River front]
  • A. Ashley River waterfront
    The Ashley River waterfront in North Charleston, South Carolina, is a scenic stretch of tidal riverfront known for its marsh views, boating access, and proximity to historic Lowcountry sites.
  • B. Deep River
    Deep River is a significant waterway in central North Carolina that flows through several counties and contributes to the Cape Fear River basin.
  • C. Don River region
    The Don River region is a strategically important area in southwestern Russia that became a major battleground on the Eastern Front during World War II, particularly in the German 1942 summer offensive.
  • D. Riverbank
    Riverbank is a small city in California’s Central Valley known for its agricultural surroundings and suburban residential character.
  • E. Don River chosen
    The Don River is a significant waterway in Toronto, Ontario, that flows south through the city into Lake Ontario and has played an important role in its urban and environmental history.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb01022108190b1da05a31454ab8d completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6b4bdc8190b53dbdc9c31e3685 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.