Triple

T152323
Position Surface form Disambiguated ID Type / Status
Subject Porbandar State E3458 entity
Predicate rulerTitle P593 FINISHED
Object Rana
Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
 E23832 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: Rana | Statement: [Porbandar State, rulerTitle, Rana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rana
Context triple: [Porbandar State, rulerTitle, Rana]
  • A. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • B. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • C. Kaw
    The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
  • D. Fidra
    Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
  • E. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • 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: Rana
Triple: [Porbandar State, rulerTitle, Rana]
Generated description
Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rana
Target entity description: Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • A. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • B. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • C. Kaw
    The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
  • D. Fidra
    Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
  • E. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25bab43608190ba5ebfbee6b5b6e4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30282051c81909845b23c651cc999 completed Feb. 28, 2026, 2:58 p.m.
NEDg Description generation batch_69a3047bf9588190a147cea4f7b74f46 completed Feb. 28, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69a304fdf7888190b0e14ca4eeffe397 completed Feb. 28, 2026, 3:08 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.