Triple

T8283162
Position Surface form Disambiguated ID Type / Status
Subject Königsallee E193727 entity
Predicate nickname P55 FINISHED
Object E723395 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: Kö | Statement: [Königsallee, nickname, Kö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kö
Context triple: [Königsallee, nickname, Kö]
  • A. chosen
    Kö is the colloquial name for Königsallee, Düsseldorf’s famous luxury shopping boulevard known for its upscale boutiques and central canal.
  • B. Koht
    Koht is a Norwegian surname most notably associated with historian and politician Halvdan Koht.
  • C. Kokni
    Kokni is an Indo-Aryan language spoken primarily by the Kokni tribal community in parts of western India, including Maharashtra and neighboring regions.
  • D. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • E. Kol
    Kol is a Hebrew surname most notably associated with Moshe Kol, an Israeli politician and one of the signatories of Israel’s Declaration of Independence.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7aceec8881909cdfa488dfedc0f5 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd951c06b88190962b108b3325d30b completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:52 p.m.