Triple

T10237516
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam skyline E243503 entity
Predicate locatedAlong P2409 FINISHED
Object IJ river E243500 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: IJ river | Statement: [Amsterdam skyline, locatedAlong, IJ river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IJ river
Context triple: [Amsterdam skyline, locatedAlong, IJ river]
  • A. IJ river chosen
    The IJ river is a body of water in Amsterdam that functions as a key waterfront and harbor area for the city.
  • B. Jupiter River
    Jupiter River is a notable river on Anticosti Island in Quebec, Canada, known for its scenic wilderness and Atlantic salmon fishing.
  • C. Jiri River
    The Jiri River is a tributary watercourse that feeds into the Barak River in northeastern India, contributing to the region’s fluvial network and drainage system.
  • D. Gianh River
    The Gianh River is a historically significant river in central Vietnam, known as a former boundary between northern and southern regions of the country.
  • E. Jasien River
    The Jasien River is a small watercourse in central Poland that flows through the city of Łódź and historically supported its early industrial development.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21b64c88190b708c20ca7fe20aa completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f76ca8848190a49d7dc76cf9dd35 completed April 9, 2026, 12:48 a.m.
Created at: April 6, 2026, 11:23 a.m.