Triple

T7993045
Position Surface form Disambiguated ID Type / Status
Subject Jorhat district E186054 entity
Predicate hasMajorTown P316 FINISHED
Object Titabor
Titabor is a notable town in the Indian state of Assam, recognized for its tea-growing areas and its role as a local commercial and administrative center.
 E703756 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: Titabor | Statement: [Jorhat district, hasMajorTown, Titabor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Titabor
Context triple: [Jorhat district, hasMajorTown, Titabor]
  • A. Itaboraí
    Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
  • B. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • C. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • D. Tabo
    Tabo is a historic village and monastery site in the Spiti Valley of Himachal Pradesh, India, renowned for its ancient Buddhist art and architecture.
  • E. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • 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: Titabor
Triple: [Jorhat district, hasMajorTown, Titabor]
Generated description
Titabor is a notable town in the Indian state of Assam, recognized for its tea-growing areas and its role as a local commercial and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Titabor
Target entity description: Titabor is a notable town in the Indian state of Assam, recognized for its tea-growing areas and its role as a local commercial and administrative center.
  • A. Itaboraí
    Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
  • B. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • C. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • D. Tabo
    Tabo is a historic village and monastery site in the Spiti Valley of Himachal Pradesh, India, renowned for its ancient Buddhist art and architecture.
  • E. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c729afc81909d477b1623ac3f9d completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0fe312c81908c6874fa0aabe7d5 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:16 p.m.