Triple

T7462832
Position Surface form Disambiguated ID Type / Status
Subject coat of arms of Gävle Municipality E176293 entity
Predicate represents P129 FINISHED
Object city of Gävle E179056 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: city of Gävle | Statement: [coat of arms of Gävle Municipality, represents, city of Gävle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Gävle
Context triple: [coat of arms of Gävle Municipality, represents, city of Gävle]
  • A. Gävle chosen
    Gävle is a coastal city in eastern Sweden known as an important regional port, industrial center, and the home of the famous Gävle Christmas Goat.
  • B. Gävle Municipality
    Gävle Municipality is a local government area in east-central Sweden that includes the coastal city of Gävle, known for its industry, port, and regional administrative significance.
  • C. Skövde
    Skövde is a town in south-central Sweden that serves as a major military hub and training center for the Swedish Army.
  • D. Växjö
    Växjö is a city in southern Sweden known for its lakeside setting, environmental sustainability initiatives, and role as a regional cultural and educational center.
  • E. Örebro
    Örebro is a historic city in central Sweden known for its medieval castle, university, and role as a regional economic and cultural hub.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d80ae08190ba383066cf0cb2ce completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856aa64e48190be1ea1490123cf26 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:39 p.m.