Triple

T9804795
Position Surface form Disambiguated ID Type / Status
Subject Peer E237927 entity
Predicate hasDemonym P191 FINISHED
Object Perenaar
A Perenaar is a person who originates from or is a resident of the place called Peer.
E820996 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: Perenaar | Statement: [Peer, hasDemonym, Perenaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perenaar
Context triple: [Peer, hasDemonym, Perenaar]
  • A. Hạfhai
    Hạfhai is one of the small outlying islets associated with the Polynesian island of Rotuma in the South Pacific.
  • B. Portrane
    Portrane is a coastal village in north County Dublin, Ireland, known for its scenic beaches, cliffs, and historic Martello tower.
  • C. Fonte das Lágrimas
    Fonte das Lágrimas is a historic fountain in Coimbra, Portugal, romantically associated with the tragic medieval love story of Pedro and Inês de Castro.
  • D. Gunalda
    Gunalda is a small rural town in Queensland, Australia, situated inland within the Fraser Coast Region and known for its agricultural surroundings and local community facilities.
  • E. Dragonseye
    Dragonseye is a science fantasy novel in Anne McCaffrey’s Dragonriders of Pern series that explores the early days of dragonrider society as it prepares for the deadly return of Thread.
  • 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: Perenaar
Triple: [Peer, hasDemonym, Perenaar]
Generated description
A Perenaar is a person who originates from or is a resident of the place called Peer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Perenaar
Target entity description: A Perenaar is a person who originates from or is a resident of the place called Peer.
  • A. Hạfhai
    Hạfhai is one of the small outlying islets associated with the Polynesian island of Rotuma in the South Pacific.
  • B. Portrane
    Portrane is a coastal village in north County Dublin, Ireland, known for its scenic beaches, cliffs, and historic Martello tower.
  • C. Fonte das Lágrimas
    Fonte das Lágrimas is a historic fountain in Coimbra, Portugal, romantically associated with the tragic medieval love story of Pedro and Inês de Castro.
  • D. Gunalda
    Gunalda is a small rural town in Queensland, Australia, situated inland within the Fraser Coast Region and known for its agricultural surroundings and local community facilities.
  • E. Dragonseye
    Dragonseye is a science fantasy novel in Anne McCaffrey’s Dragonriders of Pern series that explores the early days of dragonrider society as it prepares for the deadly return of Thread.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdab7a0ce881908f0555d194dece3f completed April 1, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4538760819099ba1e392d31a135 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c5162d8081908fd75276ec77a9f5 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c57c587c8190a6e6de9231aea380 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:29 p.m.