Triple

T11827037
Position Surface form Disambiguated ID Type / Status
Subject Gaya district E281283 entity
Predicate contains P35 FINISHED
Object Amas
Amas is a town located in the Gaya district of the Indian state of Bihar.
 E948578 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: Amas | Statement: [Gaya district, contains, Amas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amas
Context triple: [Gaya district, contains, Amas]
  • A. Amares
    Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
  • B. Amuesha
    Amuesha is another name for the Yaneshaʼ language, an Arawakan language spoken by the Yaneshaʼ (Amuesha) people of central Peru.
  • C. Amaala
    Amaala is a luxury tourism and wellness destination being developed on Saudi Arabia’s Red Sea coast as part of the country’s economic diversification and high-end tourism strategy.
  • D. Amel
    Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
  • E. Ama
    Ama is a small city located in Aichi Prefecture in Japan, known primarily as a residential and commuter town within the Nagoya metropolitan area.
  • 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: Amas
Triple: [Gaya district, contains, Amas]
Generated description
Amas is a town located in the Gaya district of the Indian state of Bihar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amas
Target entity description: Amas is a town located in the Gaya district of the Indian state of Bihar.
  • A. Amares
    Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
  • B. Amuesha
    Amuesha is another name for the Yaneshaʼ language, an Arawakan language spoken by the Yaneshaʼ (Amuesha) people of central Peru.
  • C. Amaala
    Amaala is a luxury tourism and wellness destination being developed on Saudi Arabia’s Red Sea coast as part of the country’s economic diversification and high-end tourism strategy.
  • D. Amel
    Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
  • E. Ama
    Ama is a small city located in Aichi Prefecture in Japan, known primarily as a residential and commuter town within the Nagoya metropolitan area.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f132062b108190ad33656c386ee603 completed April 28, 2026, 10:17 p.m.
NEDg Description generation batch_69f14e8ada3481908ec456c41827160c completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f1571e4ba08190824db812ffc5f35a completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:43 p.m.