Triple

T994557
Position Surface form Disambiguated ID Type / Status
Subject Gigafactory Berlin-Brandenburg E21466 entity
Predicate alsoKnownAs P39 FINISHED
Object Giga Berlin E21466 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: Giga Berlin | Statement: [Gigafactory Berlin-Brandenburg, alsoKnownAs, Giga Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giga Berlin
Context triple: [Gigafactory Berlin-Brandenburg, alsoKnownAs, Giga Berlin]
  • A. Gigafactory Berlin-Brandenburg chosen
    Gigafactory Berlin-Brandenburg is Tesla’s large-scale electric vehicle and battery manufacturing plant located near Berlin, Germany, serving as its primary European production hub.
  • B. Fürther Innenstadt
    Fürther Innenstadt is the central urban district of Fürth, Germany, known for its historic architecture, shopping streets, and role as the city’s cultural and commercial hub.
  • C. Salzgitter
    Salzgitter is a major industrial city in central Germany known for its steel production and location within the federal state of Lower Saxony.
  • D. Spandau
    Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
  • E. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c75de88190bf7fec7a053f7a90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac25919bcc8190886f19405536681b completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:41 p.m.