Triple

T9766470
Position Surface form Disambiguated ID Type / Status
Subject Konstanz E237005 entity
Predicate twinnedWith P1072 FINISHED
Object Lodi E240472 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: Lodi | Statement: [Konstanz, twinnedWith, Lodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lodi
Context triple: [Konstanz, twinnedWith, Lodi]
  • A. Lodi
    Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
  • B. Lodi chosen
    Lodi is a city in northern Italy’s Lombardy region, known for its historic center, Renaissance architecture, and role as a regional commercial and cultural hub.
  • C. Redding
    Redding is a mid-sized city in Northern California known as a regional hub for outdoor recreation, with access to Shasta Lake, the Sacramento River, and nearby national forests.
  • D. Redding
    Redding was the former name of Elizabeth City, a historic riverfront community in northeastern North Carolina.
  • E. Redding
    Redding is a village in central Scotland, situated within the Falkirk council area and historically associated with coal mining.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc46f170819081ecc5e85a0514c3 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:25 p.m.