Triple

T4458785
Position Surface form Disambiguated ID Type / Status
Subject 2016 Winter Youth Olympics E98198 entity
Predicate alsoHeldIn P36317 FINISHED
Object Hamar E68670 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: Hamar | Statement: [2016 Winter Youth Olympics, alsoHeldIn, Hamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamar
Context triple: [2016 Winter Youth Olympics, alsoHeldIn, Hamar]
  • A. Hamar chosen
    Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
  • B. Sassoun
    Sassoun is a mountainous region in historic Western Armenia, famed in Armenian folklore as the homeland of the legendary heroes of the national epic.
  • C. Hadrut
    Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
  • D. Hatti
    Hatti was an ancient Anatolian kingdom and cultural region centered in central Turkey, later absorbed into the Hittite Empire.
  • E. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63767f8d08190a58cc441471adf90 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:33 p.m.