Triple

T14266112
Position Surface form Disambiguated ID Type / Status
Subject Gesundbrunnen E353647 entity
Predicate previousBorough P113496 FINISHED
Object Wedding E71194 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: Wedding | Statement: [Gesundbrunnen, previousBorough, Wedding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wedding
Context triple: [Gesundbrunnen, previousBorough, Wedding]
  • A. Wedding chosen
    Wedding is a district in Berlin, Germany, known for its multicultural character and urban residential neighborhoods.
  • B. Wedding Day
    "Wedding Day" is a notable poem by Harlem Renaissance writer and artist Gwendolyn Bennett, reflecting her lyrical style and exploration of Black identity and emotional experience.
  • C. Wedding Day
    "Wedding Day" is a short story by Ernest Hemingway that follows his recurring character Nick Adams through the emotional complexities surrounding marriage and personal relationships.
  • D. Anand Karaj
    Anand Karaj is the Sikh marriage ceremony, conducted in the presence of the Guru Granth Sahib and centered on spiritual union and commitment.
  • E. Royal Wedding
    Royal Wedding is a 1951 MGM musical film starring Fred Astaire, renowned for its innovative dance sequences including Astaire’s iconic ceiling-and-walls dance.
  • 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: previousBorough
Context triple: [Gesundbrunnen, previousBorough, Wedding]
  • A. primaryBorough
    Indicates that one borough is the main or most significant borough associated with a given entity.
  • B. previousCity
    Indicates that one city was the immediately preceding location visited or lived in before another city.
  • C. previousCounty
    Indicates that one county was the immediately preceding county associated with an entity before the current or later county.
  • D. otherBoroughs
    Indicates that two locations are in different boroughs within the same city or metropolitan area.
  • E. previousLocationInCity
    Indicates that an entity was formerly located at a specified place within a particular city before moving or changing location.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
PDg Predicate description generation batch_69de2e07d1f88190bdcd20967e484718 completed April 14, 2026, 12:07 p.m.
Created at: April 10, 2026, 1:09 a.m.