Triple

T1882784
Position Surface form Disambiguated ID Type / Status
Subject Arunachal Pradesh E39888 entity
Predicate hasMajorTown P316 FINISHED
Object Tezu
Tezu is a prominent town in northeastern India known as an important administrative and cultural center in the Lohit district of Arunachal Pradesh.
E215182 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: Tezu | Statement: [Arunachal Pradesh, hasMajorTown, Tezu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tezu
Context triple: [Arunachal Pradesh, hasMajorTown, Tezu]
  • A. Matoury
    Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
  • B. Awaji
    Awaji is a city located on Awaji Island in Japan, known for its scenic coastal landscapes, agriculture, and role as a gateway between Honshu and Shikoku.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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: Tezu
Triple: [Arunachal Pradesh, hasMajorTown, Tezu]
Generated description
Tezu is a prominent town in northeastern India known as an important administrative and cultural center in the Lohit district of Arunachal Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tezu
Target entity description: Tezu is a prominent town in northeastern India known as an important administrative and cultural center in the Lohit district of Arunachal Pradesh.
  • A. Matoury
    Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
  • B. Awaji
    Awaji is a city located on Awaji Island in Japan, known for its scenic coastal landscapes, agriculture, and role as a gateway between Honshu and Shikoku.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fd4d6881908b8266bdae1517ce completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3cc8d5c8190bee638183989830c completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf48412b08190b6ad0f3abf42a081 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf4f7c908819089ccdc881af10da9 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:34 p.m.