Triple

T17549949
Position Surface form Disambiguated ID Type / Status
Subject Tiswadi taluka E427431 entity
Predicate contains P35 FINISHED
Object Verem
Verem is a village in the Tiswadi region of North Goa, India, known for its riverside location along the Mandovi River and proximity to the state capital, Panaji.
 E1274920 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: Verem | Statement: [Tiswadi taluka, contains, Verem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verem
Context triple: [Tiswadi taluka, contains, Verem]
  • A. Verri
    Verri is an Italian surname most notably associated with the 18th-century Milanese intellectual family that included writer and jurist Alessandro Verri.
  • B. Verpelét
    Verpelét is a small town in northern Hungary known for its wine production and location near the Bükk and Mátra mountain ranges.
  • C. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • D. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • E. Vézinet
    Vézinet is a comic character from Eugène Labiche’s farce "Il cappello di paglia di Firenze" ("The Italian Straw Hat"), typically portrayed as a flustered, middle-class Parisian entangled in the play’s escalating misunderstandings.
  • 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: Verem
Triple: [Tiswadi taluka, contains, Verem]
Generated description
Verem is a village in the Tiswadi region of North Goa, India, known for its riverside location along the Mandovi River and proximity to the state capital, Panaji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verem
Target entity description: Verem is a village in the Tiswadi region of North Goa, India, known for its riverside location along the Mandovi River and proximity to the state capital, Panaji.
  • A. Verri
    Verri is an Italian surname most notably associated with the 18th-century Milanese intellectual family that included writer and jurist Alessandro Verri.
  • B. Verpelét
    Verpelét is a small town in northern Hungary known for its wine production and location near the Bükk and Mátra mountain ranges.
  • C. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • D. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • E. Vézinet
    Vézinet is a comic character from Eugène Labiche’s farce "Il cappello di paglia di Firenze" ("The Italian Straw Hat"), typically portrayed as a flustered, middle-class Parisian entangled in the play’s escalating misunderstandings.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45463ddf88190a2c29f3246adcb6e completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d290edbc8190a7b2cb0835456890 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d597c96c8190a5eca56a748da50c completed May 11, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a01d639c220819088dd3389d1ab60ca completed May 11, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:50 a.m.