Triple

T14147993
Position Surface form Disambiguated ID Type / Status
Subject District XI of Budapest E350602 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Sasad
Sasad is a primarily residential neighborhood in Budapest known for its green, hilly surroundings and relatively quiet, suburban character.
 E1081662 NE FINISHED

How this triple was built (4 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: Sasad | Statement: [District XI of Budapest, hasNeighbourhood, Sasad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sasad
Context triple: [District XI of Budapest, hasNeighbourhood, Sasad]
  • A. Sajos
    Sajos is the main cultural and administrative center of the Sámi people in Finland, housing the Sámi Parliament and related institutions in Inari.
  • B. Saratak
    Saratak is a rural village located in Armenia's Shirak Province.
  • C. Sasa
    Sasa is a given name and surname used in various cultures, often as a variant of names like Saša or Sasha.
  • D. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • E. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sasad
Triple: [District XI of Budapest, hasNeighbourhood, Sasad]
Generated description
Sasad is a primarily residential neighborhood in Budapest known for its green, hilly surroundings and relatively quiet, suburban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sasad
Target entity description: Sasad is a primarily residential neighborhood in Budapest known for its green, hilly surroundings and relatively quiet, suburban character.
  • A. Sajos
    Sajos is the main cultural and administrative center of the Sámi people in Finland, housing the Sámi Parliament and related institutions in Inari.
  • B. Saratak
    Saratak is a rural village located in Armenia's Shirak Province.
  • C. Sasa
    Sasa is a given name and surname used in various cultures, often as a variant of names like Saša or Sasha.
  • D. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • E. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce266b2a08190998f04913064e43f completed May 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69fce2cd8cb481908e3e5a421e732948 completed May 7, 2026, 7:06 p.m.
Created at: April 10, 2026, 12:55 a.m.