Triple

T21245460
Position Surface form Disambiguated ID Type / Status
Subject Sabarkantha district E523594 entity
Predicate containsTown P847 FINISHED
Object Prantij
Prantij is a town in the Sabarkantha district of Gujarat, India, known as a local commercial and transportation hub for the surrounding rural region.
E1472942 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: Prantij | Statement: [Sabarkantha district, containsTown, Prantij]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prantij
Context triple: [Sabarkantha district, containsTown, Prantij]
  • A. Prasne
    Prasne is a notable literary work by renowned Indian writer U. R. Ananthamurthy, associated with modern Kannada literature.
  • B. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • C. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Prauliena
    Prauliena is a village and administrative unit located within Madona Municipality in eastern Latvia.
  • E. Prady
    Prady is the surname of Bill Prady, an American television writer and producer best known as the co-creator of the sitcom "The Big Bang Theory."
  • 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: Prantij
Triple: [Sabarkantha district, containsTown, Prantij]
Generated description
Prantij is a town in the Sabarkantha district of Gujarat, India, known as a local commercial and transportation hub for the surrounding rural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prantij
Target entity description: Prantij is a town in the Sabarkantha district of Gujarat, India, known as a local commercial and transportation hub for the surrounding rural region.
  • A. Prasne
    Prasne is a notable literary work by renowned Indian writer U. R. Ananthamurthy, associated with modern Kannada literature.
  • B. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • C. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Prauliena
    Prauliena is a village and administrative unit located within Madona Municipality in eastern Latvia.
  • E. Prady
    Prady is the surname of Bill Prady, an American television writer and producer best known as the co-creator of the sitcom "The Big Bang Theory."
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73599e5548190ad70d2c2bfa9e919 completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986f705808190ba3a85d2dacb8818 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a0988086a648190856057c1327a6ab1 completed May 17, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0988d4ada081909fe532955b204b94 completed May 17, 2026, 9:22 a.m.
Created at: April 16, 2026, 3:47 p.m.