Triple

T12263857
Position Surface form Disambiguated ID Type / Status
Subject Wessex (fictional region) E292291 entity
Predicate hasPart P35 FINISHED
Object Mellstock
Mellstock is a fictional rural parish in Thomas Hardy’s Wessex, best known as the setting of his novel "Under the Greenwood Tree."
 E971219 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: Mellstock | Statement: [Wessex (fictional region), hasPart, Mellstock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mellstock
Context triple: [Wessex (fictional region), hasPart, Mellstock]
  • A. Balsthal
    Balsthal is a Swiss municipality in the canton of Solothurn, known for its industrial history and location in the Jura Mountains.
  • B. Sherkston
    Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
  • C. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • D. Altomünster
    Altomünster is a market town in Upper Bavaria, Germany, known for its historic monastery and rural Bavarian character.
  • E. Brigstocke
    Brigstocke is the surname of British comedian, actor, and satirist Marcus Brigstocke.
  • 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: Mellstock
Triple: [Wessex (fictional region), hasPart, Mellstock]
Generated description
Mellstock is a fictional rural parish in Thomas Hardy’s Wessex, best known as the setting of his novel "Under the Greenwood Tree."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mellstock
Target entity description: Mellstock is a fictional rural parish in Thomas Hardy’s Wessex, best known as the setting of his novel "Under the Greenwood Tree."
  • A. Balsthal
    Balsthal is a Swiss municipality in the canton of Solothurn, known for its industrial history and location in the Jura Mountains.
  • B. Sherkston
    Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
  • C. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • D. Altomünster
    Altomünster is a market town in Upper Bavaria, Germany, known for its historic monastery and rural Bavarian character.
  • E. Brigstocke
    Brigstocke is the surname of British comedian, actor, and satirist Marcus Brigstocke.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdb0a948190aeee4ca3c01f801e completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac3ce008190856a917c2c75862a completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f220554819088c0aa5706f44856 completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60f9f40f48190b60be483d1922b22 completed May 2, 2026, 2:52 p.m.
Created at: April 8, 2026, 9:52 p.m.