Triple

T21625351
Position Surface form Disambiguated ID Type / Status
Subject Chuda State E533686 entity
Predicate capital P234 FINISHED
Object Chuda
Chuda is a town in the Surendranagar district of Gujarat, India, known historically as the administrative center of the former Chuda State.
 E1494573 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: Chuda | Statement: [Chuda State, capital, Chuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chuda
Context triple: [Chuda State, capital, Chuda]
  • A. Shachi
    Shachi, also known as Indrani, is the queen of the gods and the goddess of beauty and prosperity in Hindu mythology, revered as the wife of the god Indra.
  • B. Tigana
    Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
  • C. Chuma
    Chuma is a small Bolivian town that serves as the administrative center of Muñecas Province in the La Paz Department.
  • D. Dugu
    Dugu is a semi-legendary figure sometimes cited as an early founder of the Sayfawa dynasty, the long-ruling royal house of the Kanem-Bornu Empire in Central Africa.
  • E. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • 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: Chuda
Triple: [Chuda State, capital, Chuda]
Generated description
Chuda is a town in the Surendranagar district of Gujarat, India, known historically as the administrative center of the former Chuda State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chuda
Target entity description: Chuda is a town in the Surendranagar district of Gujarat, India, known historically as the administrative center of the former Chuda State.
  • A. Shachi
    Shachi, also known as Indrani, is the queen of the gods and the goddess of beauty and prosperity in Hindu mythology, revered as the wife of the god Indra.
  • B. Tigana
    Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
  • C. Chuma
    Chuma is a small Bolivian town that serves as the administrative center of Muñecas Province in the La Paz Department.
  • D. Dugu
    Dugu is a semi-legendary figure sometimes cited as an early founder of the Sayfawa dynasty, the long-ruling royal house of the Kanem-Bornu Empire in Central Africa.
  • E. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52121c3c8190b9b4d862ed247c71 completed April 27, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f92ff3881908f6319ef93abf078 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a10106ab4819096045effbbdfe95e completed May 17, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10c8c5bc8190add0ee63eb338964 completed May 17, 2026, 7:02 p.m.
Created at: April 16, 2026, 6:34 p.m.