Triple

T15757601
Position Surface form Disambiguated ID Type / Status
Subject Innerste E382006 entity
Predicate hasStructure P35 FINISHED
Object Innerste Dam E379328 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: Innerste Dam | Statement: [Innerste, hasStructure, Innerste Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innerste Dam
Context triple: [Innerste, hasStructure, Innerste Dam]
  • A. Innerste Dam chosen
    Innerste Dam is a reservoir dam in Lower Saxony, Germany, built on the Innerste River for flood control, water supply, and recreation.
  • B. De Dam
    De Dam is Amsterdam’s central and historic main square, known for its royal palace, national monument, and role as a major public gathering place.
  • C. Ballindamm
    Ballindamm is a prominent boulevard in central Hamburg, Germany, known for its upscale shops, offices, and views over the Binnenalster lake.
  • D. De Wolden
    De Wolden is a rural municipality in the northeastern Netherlands known for its scenic landscapes, small villages, and agricultural character.
  • E. La Rippe
    La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877311dc8190b55fe7ca5c0843da completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.