Triple

T8717112
Position Surface form Disambiguated ID Type / Status
Subject Centaurus E206922 entity
Predicate hasAbbreviation P43 FINISHED
Object Cen
Cen is the standard astronomical abbreviation for Centaurus, a prominent constellation in the southern sky.
 E753973 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: Cen | Statement: [Centaurus, hasAbbreviation, Cen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cen
Context triple: [Centaurus, hasAbbreviation, Cen]
  • A. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • B. Ciney
    Ciney is a town in the Walloon region of Belgium, known for its historic center, Trappist-style beer, and role as a local transport hub.
  • C. Kenter
    Kenter is a Turkish surname most prominently associated with the acclaimed stage and film actress Yıldız Kenter and her family of influential theatre artists.
  • D. Cenomani
    The Cenomani were an ancient Celtic people who settled in northern Italy, particularly in the region later known as Cisalpine Gaul, and interacted extensively with both neighboring tribes and the expanding Roman Republic.
  • E. Cesca
    Cesca is a feminine given name, commonly used as a short form of Francesca.
  • 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: Cen
Triple: [Centaurus, hasAbbreviation, Cen]
Generated description
Cen is the standard astronomical abbreviation for Centaurus, a prominent constellation in the southern sky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cen
Target entity description: Cen is the standard astronomical abbreviation for Centaurus, a prominent constellation in the southern sky.
  • A. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • B. Ciney
    Ciney is a town in the Walloon region of Belgium, known for its historic center, Trappist-style beer, and role as a local transport hub.
  • C. Kenter
    Kenter is a Turkish surname most prominently associated with the acclaimed stage and film actress Yıldız Kenter and her family of influential theatre artists.
  • D. Cenomani
    The Cenomani were an ancient Celtic people who settled in northern Italy, particularly in the region later known as Cisalpine Gaul, and interacted extensively with both neighboring tribes and the expanding Roman Republic.
  • E. Cesca
    Cesca is a feminine given name, commonly used as a short form of Francesca.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd9c2a08190a65ab0ce573153d2 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28df657881908c1fc67c2c777cea completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd222b08190907ba7e98991996e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2fcb5e7c819086b441d1ef4fc368 completed April 3, 2026, 3:11 a.m.
Created at: March 30, 2026, 6:36 p.m.