Triple

T15332149
Position Surface form Disambiguated ID Type / Status
Subject Oldedalen E366560 entity
Predicate hasVillage P4011 FINISHED
Object Olden E1149874 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: Olden | Statement: [Oldedalen, hasVillage, Olden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olden
Context triple: [Oldedalen, hasVillage, Olden]
  • A. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • B. Olden chosen
    Olden is a small village in Stryn Municipality in Vestland county, Norway, known as a gateway to the Nordfjord region and nearby glaciers.
  • C. Gamla
    Gamla was an ancient Jewish stronghold on the Golan Heights, known for its dramatic siege and destruction by Roman forces during the First Jewish–Roman War.
  • D. Oude
    Oude is an alternative name for Oudh, a historic region in northern India known for its rich cultural heritage and former princely state status under British rule.
  • E. Oldambt
    Oldambt is a municipality in the northeast of the Netherlands, known for its reclaimed lake Oldambtmeer and its agricultural landscapes.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3f8eac81908489baeb4cb6bb53 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:17 a.m.