Triple

T29356498
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt Rhine-Main E744456 entity
Predicate rankInGermanyByPopulation P177146 FINISHED
Object one of the largest metropolitan regions in Germany LITERAL 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: one of the largest metropolitan regions in Germany | Statement: [Frankfurt Rhine-Main, rankInGermanyByPopulation, one of the largest metropolitan regions in Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInGermanyByPopulation
Context triple: [Frankfurt Rhine-Main, rankInGermanyByPopulation, one of the largest metropolitan regions in Germany]
  • A. rankAmongGermanStates
    Indicates the relative position or standing of a German state when ordered or compared to other German states by a specific criterion (such as size, population, or performance).
  • B. rankInGermanyByArea
    Indicates the position of an entity in an ordered list based on its area size within Germany.
  • C. rankWithinGermanStates
    Indicates the relative position or standing of an entity compared to others within the set of German federal states.
  • D. heightRankingInGermany
    Indicates the relative position of an entity in an ordered list based on its height within the context of Germany.
  • E. rankInGermanEmpireByArea
    Indicates the ordinal position of an entity when all entities in the German Empire are ordered by their land area.
  • F. None of above. chosen

Provenance (4 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_69f0a79aee588190b490f19d93c6e52d completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6f85bfba48190aba95b40642a8ca7 completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
PDg Predicate description generation batch_69f6f854486c81909396d944a55e03ab completed May 3, 2026, 7:25 a.m.
Created at: April 28, 2026, 2:12 p.m.