Triple

T7679178
Position Surface form Disambiguated ID Type / Status
Subject Compiègne E173943 entity
Predicate twinTown P1072 FINISHED
Object Hammerfest E74443 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: Hammerfest | Statement: [Compiègne, twinTown, Hammerfest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammerfest
Context triple: [Compiègne, twinTown, Hammerfest]
  • A. Hammerfest chosen
    Hammerfest is a coastal town in northern Norway known as one of the world’s northernmost settlements and a historic Arctic fishing and trading hub.
  • B. Gjallarhorn
    Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
  • C. Valhalla
    Valhalla is a hamlet in the town of Mount Pleasant in Westchester County, New York, known for its suburban character and proximity to major reservoirs and parklands.
  • D. Valhalla
    Valhalla is the majestic hall in Norse mythology where Odin receives and houses warriors who have died heroically in battle.
  • E. Valhalla
    Valhalla is a large, Viking-themed indoor water ride known for its dramatic special effects and soaking drops at Blackpool Pleasure Beach in England.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701fe2cc88190b5fd5e1378c32e5b completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a248750481908f0de08aee78c9ba completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.