Triple

T9196949
Position Surface form Disambiguated ID Type / Status
Subject Balvanera E220738 entity
Predicate hasSubdistrict P747 FINISHED
Object Once
Once is a bustling commercial neighborhood in Buenos Aires, Argentina, known for its dense shopping district, textile trade, and strong Jewish and immigrant communities.
E784057 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: Once | Statement: [Balvanera, hasSubdistrict, Once]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Once
Context triple: [Balvanera, hasSubdistrict, Once]
  • A. Once
    "Once" is a song best known as the opening track of Pearl Jam's landmark 1991 debut album, *Ten*.
  • B. Once
    Once is a Tony Award–winning Broadway musical adaptation of the 2007 indie film, known for its intimate storytelling and actor-musicians performing onstage.
  • C. One Time
    "One Time" is the debut single by Canadian pop singer Justin Bieber that helped launch his international music career.
  • D. ONE
    ONE was the stock ticker symbol for Bank One Corporation, a major U.S. bank that later merged with JPMorgan Chase.
  • E. ONE
    ONE is a global advocacy and campaigning organization focused on ending extreme poverty and preventable disease, particularly in Africa.
  • 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: Once
Triple: [Balvanera, hasSubdistrict, Once]
Generated description
Once is a bustling commercial neighborhood in Buenos Aires, Argentina, known for its dense shopping district, textile trade, and strong Jewish and immigrant communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Once
Target entity description: Once is a bustling commercial neighborhood in Buenos Aires, Argentina, known for its dense shopping district, textile trade, and strong Jewish and immigrant communities.
  • A. Once
    "Once" is a song best known as the opening track of Pearl Jam's landmark 1991 debut album, *Ten*.
  • B. Once
    Once is a Tony Award–winning Broadway musical adaptation of the 2007 indie film, known for its intimate storytelling and actor-musicians performing onstage.
  • C. One Time
    "One Time" is the debut single by Canadian pop singer Justin Bieber that helped launch his international music career.
  • D. ONE
    ONE was the stock ticker symbol for Bank One Corporation, a major U.S. bank that later merged with JPMorgan Chase.
  • E. ONE
    ONE is a global advocacy and campaigning organization focused on ending extreme poverty and preventable disease, particularly in Africa.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87d6460819097234b5dd3f749b4 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c3b1af48190bb03af15232c510d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cfb7058819080d80b7f28125199 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05d91ad4c8190a45db7484b9f058a completed April 4, 2026, 12:38 a.m.
Created at: March 30, 2026, 7:25 p.m.