Triple

T4949959
Position Surface form Disambiguated ID Type / Status
Subject Dargin E111143 entity
Predicate hasDialects P4251 FINISHED
Object Chirag
Chirag is a Northeast Caucasian (Dargin) language variety spoken in parts of Dagestan, Russia.
E483545 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: Chirag | Statement: [Dargin, hasDialects, Chirag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chirag
Context triple: [Dargin, hasDialects, Chirag]
  • A. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • B. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • C. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • D. Harish
    Harish is the given name of Harish-Chandra, a prominent Indian-American mathematician and physicist known for his foundational work in representation theory.
  • E. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • 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: Chirag
Triple: [Dargin, hasDialects, Chirag]
Generated description
Chirag is a Northeast Caucasian (Dargin) language variety spoken in parts of Dagestan, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chirag
Target entity description: Chirag is a Northeast Caucasian (Dargin) language variety spoken in parts of Dagestan, Russia.
  • A. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • B. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • C. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • D. Harish
    Harish is the given name of Harish-Chandra, a prominent Indian-American mathematician and physicist known for his foundational work in representation theory.
  • E. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7167f97481908db5bfa9338e3824 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d03b088190aa6601298ee4d8fd completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8625c100819086b9621b43268164 completed March 21, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_69be8675c7e08190b01880a679554412 completed March 21, 2026, 11:52 a.m.
Created at: March 20, 2026, 1:31 p.m.