Triple

T2420167
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Basin E53399 entity
Predicate contains P35 FINISHED
Object Gardena
Gardena is a small, diverse city in southwestern Los Angeles County, California, known for its suburban character and significant Japanese American community.
 E266618 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: Gardena | Statement: [Los Angeles Basin, contains, Gardena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gardena
Context triple: [Los Angeles Basin, contains, Gardena]
  • A. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • B. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Gardena GTrans
    Gardena GTrans is a public bus transit system serving the city of Gardena and surrounding areas in Los Angeles County, California.
  • E. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • 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: Gardena
Triple: [Los Angeles Basin, contains, Gardena]
Generated description
Gardena is a small, diverse city in southwestern Los Angeles County, California, known for its suburban character and significant Japanese American community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gardena
Target entity description: Gardena is a small, diverse city in southwestern Los Angeles County, California, known for its suburban character and significant Japanese American community.
  • A. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • B. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Gardena GTrans
    Gardena GTrans is a public bus transit system serving the city of Gardena and surrounding areas in Los Angeles County, California.
  • E. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf57b0708190bf4d38c51e02309f completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec495e4e88190a1b9929161aba193 completed March 9, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69aec570ec88819089a2afc42aec1088 completed March 9, 2026, 1:04 p.m.
Created at: March 6, 2026, 9:42 p.m.