Triple

T9264538
Position Surface form Disambiguated ID Type / Status
Subject Mama E222662 entity
Predicate associatedWithConcept P531 FINISHED
Object BTs
BTs is a concept or group closely linked to the character Mama, likely representing a set of individuals or entities connected to her in a familial or thematic context.
 E788333 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: BTs | Statement: [Mama, associatedWithConcept, BTs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BTs
Context triple: [Mama, associatedWithConcept, BTs]
  • A. BT1
    BT1 is the central Belfast city centre postcode district in Northern Ireland, covering key commercial and civic areas including Donegall Square.
  • B. TBT
    TBT is a high-stakes, single-elimination summer basketball tournament featuring professional and amateur teams competing for a large winner-take-all cash prize.
  • C. Bt
    Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
  • D. TBW
    TBW is the National Rail station code for Tunbridge Wells railway station in Kent, England.
  • E. BATS
    BATS is a major U.S. equities exchange platform operated by Cboe Global Markets, known for its high-speed electronic trading and significant market share.
  • 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: BTs
Triple: [Mama, associatedWithConcept, BTs]
Generated description
BTs is a concept or group closely linked to the character Mama, likely representing a set of individuals or entities connected to her in a familial or thematic context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BTs
Target entity description: BTs is a concept or group closely linked to the character Mama, likely representing a set of individuals or entities connected to her in a familial or thematic context.
  • A. BT1
    BT1 is the central Belfast city centre postcode district in Northern Ireland, covering key commercial and civic areas including Donegall Square.
  • B. TBT
    TBT is a high-stakes, single-elimination summer basketball tournament featuring professional and amateur teams competing for a large winner-take-all cash prize.
  • C. Bt
    Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
  • D. TBW
    TBW is the National Rail station code for Tunbridge Wells railway station in Kent, England.
  • E. BATS
    BATS is a major U.S. equities exchange platform operated by Cboe Global Markets, known for its high-speed electronic trading and significant market share.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0748a1f481909d9d876692cefccc completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0f0c6c81909f97ccc4c09e8072 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09d6cc45c8190b6cb44212ccfcbc8 completed April 4, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2069048190ac22b738fa324771 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:32 p.m.