Triple

T532448
Position Surface form Disambiguated ID Type / Status
Subject Doctrine of Lapse E12251 entity
Predicate annexedState P960 FINISHED
Object Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
E68695 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: Baghat | Statement: [Doctrine of Lapse, annexedState, Baghat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baghat
Context triple: [Doctrine of Lapse, annexedState, Baghat]
  • A. Dila Gori
    Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
  • B. Hoshangabad
    Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
  • C. Kisan Ghat
    Kisan Ghat is a memorial in Delhi dedicated to Indian farmers, located near the Raj Ghat complex.
  • D. Dhundhar
    Dhundhar is a historical region in eastern Rajasthan, India, centered around Jaipur and known for its rich Rajput heritage and cultural significance.
  • E. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • 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: Baghat
Triple: [Doctrine of Lapse, annexedState, Baghat]
Generated description
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baghat
Target entity description: Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
  • A. Dila Gori
    Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
  • B. Hoshangabad
    Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
  • C. Kisan Ghat
    Kisan Ghat is a memorial in Delhi dedicated to Indian farmers, located near the Raj Ghat complex.
  • D. Dhundhar
    Dhundhar is a historical region in eastern Rajasthan, India, centered around Jaipur and known for its rich Rajput heritage and cultural significance.
  • E. Harar Jugol
    Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d278cf88190ad1368da91a7014f completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e02ab7dc819092a210eb0fcd59f4 completed March 2, 2026, 12:56 a.m.
NEDg Description generation batch_69a4e124306c8190bce165e684507553 completed March 2, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69a4e1e73b0c8190b4f050f76f8e58de completed March 2, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:32 p.m.