Triple

T1809921
Position Surface form Disambiguated ID Type / Status
Subject Cilician Armenia E40307 entity
Predicate earlierCapital P30708 FINISHED
Object Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
 E202452 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: Vahka | Statement: [Cilician Armenia, earlierCapital, Vahka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vahka
Context triple: [Cilician Armenia, earlierCapital, Vahka]
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • E. Navolato
    Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
  • 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: Vahka
Triple: [Cilician Armenia, earlierCapital, Vahka]
Generated description
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vahka
Target entity description: Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • E. Navolato
    Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0003d308190a024f8c03c5f5dad completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e352d88190839cde25e3c07d95 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb8b6d160819096dc02323049101d completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9bafd688190a66a835c6a8163e3 completed March 8, 2026, 6:02 p.m.
Created at: March 4, 2026, 7:32 p.m.