Triple

T1654776
Position Surface form Disambiguated ID Type / Status
Subject Saalekreis E35772 entity
Predicate hasCityStatusFor P30949 FINISHED
Object Merseburg E213906 NE FINISHED

How this triple was built (3 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: Merseburg | Statement: [Saalekreis, hasCityStatusFor, Merseburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merseburg
Context triple: [Saalekreis, hasCityStatusFor, Merseburg]
  • A. Merseburg chosen
    Merseburg is a historic town in the German state of Saxony-Anhalt, known for its medieval cathedral and role as an important cultural and administrative center on the River Saale.
  • B. Hildesheim
    Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
  • C. Fulda
    Fulda is a historic city in central Germany known for its Baroque architecture and former status as an important monastic and ecclesiastical center.
  • D. Naumburg
    Naumburg is a historic town in the German state of Saxony-Anhalt, known for its medieval cathedral and as the childhood home of philosopher Friedrich Nietzsche.
  • E. Bamberg
    Bamberg is a historic city in northern Bavaria, Germany, renowned for its well-preserved medieval old town and status as a UNESCO World Heritage Site.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityStatusFor
Context triple: [Saalekreis, hasCityStatusFor, Merseburg]
  • A. hasCityStatusSettlement
    Indicates that a settlement possesses official recognition or designation as a city.
  • B. isInCity
    Indicates that one entity is located within the geographical boundaries of a specified city.
  • C. hasTargetCity
    Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
  • D. cityStatusUntil
    Indicates the period up to a specified time during which a place holds or held a particular city status.
  • E. cityStatusContext
    Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
  • F. None of above. chosen

Provenance (5 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf3359ce48190803b322db8ad6027 completed March 6, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb93ea5481908f21378715bab13d completed March 8, 2026, 10:43 p.m.
PD Predicate disambiguation batch_69a907cff53c8190b424f088478d3e2c completed March 5, 2026, 4:34 a.m.
PDg Predicate description generation batch_69a99a4c3810819089d2dd0e23c8e46b completed March 5, 2026, 2:59 p.m.
Created at: March 4, 2026, 7:29 p.m.