Triple

T14811926
Position Surface form Disambiguated ID Type / Status
Subject Cilicia Trachea E348200 entity
Predicate hasCity P316 FINISHED
Object Celenderis
Celenderis was an ancient coastal city and port located in the rugged region of Cilicia Trachea in southeastern Asia Minor (modern-day Turkey).
 E1120034 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: Celenderis | Statement: [Cilicia Trachea, hasCity, Celenderis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Celenderis
Context triple: [Cilicia Trachea, hasCity, Celenderis]
  • A. Celador
    Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
  • B. Quincee
    Quincee is a given name that functions as a modern spelling variant of the name Quincy.
  • C. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • D. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • E. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • 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: Celenderis
Triple: [Cilicia Trachea, hasCity, Celenderis]
Generated description
Celenderis was an ancient coastal city and port located in the rugged region of Cilicia Trachea in southeastern Asia Minor (modern-day Turkey).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Celenderis
Target entity description: Celenderis was an ancient coastal city and port located in the rugged region of Cilicia Trachea in southeastern Asia Minor (modern-day Turkey).
  • A. Celador
    Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
  • B. Quincee
    Quincee is a given name that functions as a modern spelling variant of the name Quincy.
  • C. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • D. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • E. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ca88748190ae9e66bac5324e25 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe26d7be04819090860d5180c72329 completed May 8, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe277c73c481908ca3bdb1c2113598 completed May 8, 2026, 6:12 p.m.
Created at: April 10, 2026, 1:46 a.m.