Triple

T21523046
Position Surface form Disambiguated ID Type / Status
Subject Auriga E531023 entity
Predicate containsStar P1393 FINISHED
Object Mahasim
Mahasim is a bright star in the constellation Auriga, also known as Theta Aurigae, notable for its variable brightness and spectral peculiarities.
E1489529 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: Mahasim | Statement: [Auriga, containsStar, Mahasim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahasim
Context triple: [Auriga, containsStar, Mahasim]
  • A. Mahatao
    Mahatao is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, scenic rolling hills, and rugged seascapes.
  • B. Mahwa
    Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
  • C. Mabú
    Mabú is a barrio (district) of the municipality of Humacao in eastern Puerto Rico, known primarily as a local residential community.
  • D. Miyama
    Miyama is a Japanese municipality known for its traditional rural landscapes and cultural heritage.
  • E. Moriya
    Moriya is a city in Ibaraki Prefecture, Japan, known as a suburban residential and commuter hub within the Greater Tokyo 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: Mahasim
Triple: [Auriga, containsStar, Mahasim]
Generated description
Mahasim is a bright star in the constellation Auriga, also known as Theta Aurigae, notable for its variable brightness and spectral peculiarities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mahasim
Target entity description: Mahasim is a bright star in the constellation Auriga, also known as Theta Aurigae, notable for its variable brightness and spectral peculiarities.
  • A. Mahatao
    Mahatao is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, scenic rolling hills, and rugged seascapes.
  • B. Mahwa
    Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
  • C. Mabú
    Mabú is a barrio (district) of the municipality of Humacao in eastern Puerto Rico, known primarily as a local residential community.
  • D. Miyama
    Miyama is a Japanese municipality known for its traditional rural landscapes and cultural heritage.
  • E. Moriya
    Moriya is a city in Ibaraki Prefecture, Japan, known as a suburban residential and commuter hub within the Greater Tokyo 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884db3ac81909e77d22d607ac72d completed April 26, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e8271eb08190bcfb9c33558615d3 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09eb817ab08190872aa7c5e61a4d6c completed May 17, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_6a09ec5281308190988f0427f6abda69 completed May 17, 2026, 4:26 p.m.
Created at: April 16, 2026, 6:26 p.m.