Triple

T2550338
Position Surface form Disambiguated ID Type / Status
Subject Intolerance E56609 entity
Predicate distributor P1951 FINISHED
Object Triangle Distributing
Triangle Distributing is a beverage distribution company known for supplying products such as the gluten-free beer brand Intolerance to retailers.
 E276583 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: Triangle Distributing | Statement: [Intolerance, distributor, Triangle Distributing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Triangle Distributing
Context triple: [Intolerance, distributor, Triangle Distributing]
  • A. Tregami
    Tregami is a Nuristani language spoken by a small community in eastern Afghanistan’s remote valleys.
  • B. Triad
    Triad is a common shorthand name for the Piedmont Triad, a metropolitan region in North Carolina centered around the cities of Greensboro, Winston-Salem, and High Point.
  • C. Trique
    Trique is an indigenous Mesoamerican language spoken in Oaxaca, Mexico, known for its complex tonal system and belonging to the Oto-Manguean language family.
  • D. TriG
    TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
  • E. Fermat point
    The Fermat point is a special point inside a triangle that minimizes the total distance to the triangle’s three vertices.
  • 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: Triangle Distributing
Triple: [Intolerance, distributor, Triangle Distributing]
Generated description
Triangle Distributing is a beverage distribution company known for supplying products such as the gluten-free beer brand Intolerance to retailers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Triangle Distributing
Target entity description: Triangle Distributing is a beverage distribution company known for supplying products such as the gluten-free beer brand Intolerance to retailers.
  • A. Tregami
    Tregami is a Nuristani language spoken by a small community in eastern Afghanistan’s remote valleys.
  • B. Triad
    Triad is a common shorthand name for the Piedmont Triad, a metropolitan region in North Carolina centered around the cities of Greensboro, Winston-Salem, and High Point.
  • C. Trique
    Trique is an indigenous Mesoamerican language spoken in Oaxaca, Mexico, known for its complex tonal system and belonging to the Oto-Manguean language family.
  • D. TriG
    TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
  • E. Fermat point
    The Fermat point is a special point inside a triangle that minimizes the total distance to the triangle’s three vertices.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e930508190a6bc9fc4fa431070 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d114964819092b847c701a0704e completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5db1c290819099d88815ebe97c1b completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e2cd2588190bc24c3cdd350fa70 completed March 9, 2026, 11:56 p.m.
Created at: March 6, 2026, 9:48 p.m.