Triple

T9274549
Position Surface form Disambiguated ID Type / Status
Subject Tartu County E222912 entity
Predicate contains P35 FINISHED
Object Elva
Elva is a small town in southern Estonia known for its forests, lakes, and role as a local recreational and tourism center.
 E787926 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: Elva | Statement: [Tartu County, contains, Elva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elva
Context triple: [Tartu County, contains, Elva]
  • A. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • B. Rea
    Rea is a given name and surname that serves as an alternative spelling of the name Rae.
  • C. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • D. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • E. Bilara
    Bilara is a town in the Indian state of Rajasthan, known as a local commercial and administrative center within the Jodhpur region.
  • 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: Elva
Triple: [Tartu County, contains, Elva]
Generated description
Elva is a small town in southern Estonia known for its forests, lakes, and role as a local recreational and tourism center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elva
Target entity description: Elva is a small town in southern Estonia known for its forests, lakes, and role as a local recreational and tourism center.
  • A. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • B. Rea
    Rea is a given name and surname that serves as an alternative spelling of the name Rae.
  • C. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • D. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • E. Bilara
    Bilara is a town in the Indian state of Rajasthan, known as a local commercial and administrative center within the Jodhpur region.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078a045c8190b2c4d1ec64b932ad completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c3dd140819099fc0e95c4d48ba9 completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09cf1f2f48190b53e062c3eb4565d completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09d9739d48190ac3b240390f36c38 completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:33 p.m.