Triple

T2695731
Position Surface form Disambiguated ID Type / Status
Subject Espoo E58506 entity
Predicate hostedHeadquartersOf P62 FINISHED
Object Neste
Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
 E290447 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: Neste | Statement: [Espoo, hostedHeadquartersOf, Neste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neste
Context triple: [Espoo, hostedHeadquartersOf, Neste]
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • C. Neo
    Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
  • D. Neil
    Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
  • E. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • 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: Neste
Triple: [Espoo, hostedHeadquartersOf, Neste]
Generated description
Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neste
Target entity description: Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • C. Neo
    Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
  • D. Neil
    Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
  • E. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1e80dc819083e04e1427d187d0 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6aa78c8190b57be36042008361 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01b48508190a9b668a7273ad422 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb09133788190862d4b24d77facc0 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.