Triple

T22514569
Position Surface form Disambiguated ID Type / Status
Subject Šiauliai E556607 entity
Predicate hasTwinTown P919 FINISHED
Object Ogre NE NERFINISHED

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: Ogre | Statement: [Šiauliai, hasTwinTown, Ogre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogre
Context triple: [Šiauliai, hasTwinTown, Ogre]
  • A. Ogre chosen
    Ogre is a town in central Latvia known for its location at the confluence of the Ogre and Daugava rivers and its role as a regional administrative and cultural center.
  • B. Ogre
    Ogre is a classic science fiction tabletop wargame by Steve Jackson Games that simulates futuristic battles between conventional forces and massive cybernetic tanks.
  • C. Ogre (Baintha Brakk)
    Ogre (Baintha Brakk) is a notoriously difficult and steep granite peak in the Karakoram range of Pakistan, famed among mountaineers for its technical challenges and dramatic rock spires.
  • D. Oger
    Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
  • E. Orcier
    Orcier is a small commune in the Haute-Savoie department of southeastern France, situated in the mountainous Haut-Chablais region near the French Alps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2c3098819098a553133cc9515b completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.