Triple

T3853131
Position Surface form Disambiguated ID Type / Status
Subject Tournefeuille E85343 entity
Predicate hasTwinTown P919 FINISHED
Object Graus
Graus is a historic town in the province of Huesca, Aragon, Spain, known for its traditional architecture and cultural festivals.
 E392185 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: Graus | Statement: [Tournefeuille, hasTwinTown, Graus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Graus
Context triple: [Tournefeuille, hasTwinTown, Graus]
  • A. Gelo
    Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
  • B. Grenitote
    Grenitote is a small settlement on the island of North Uist in Scotland’s Outer Hebrides.
  • C. Gradoli
    Gradoli is a small historic town in Italy’s Lazio region, situated in the hills above Lake Bolsena and known for its scenic views and Renaissance architecture.
  • D. Granz
    Granz is the surname of Norman Granz, the influential American jazz impresario and founder of several major jazz record labels.
  • E. Blizne
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • 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: Graus
Triple: [Tournefeuille, hasTwinTown, Graus]
Generated description
Graus is a historic town in the province of Huesca, Aragon, Spain, known for its traditional architecture and cultural festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Graus
Target entity description: Graus is a historic town in the province of Huesca, Aragon, Spain, known for its traditional architecture and cultural festivals.
  • A. Gelo
    Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
  • B. Grenitote
    Grenitote is a small settlement on the island of North Uist in Scotland’s Outer Hebrides.
  • C. Gradoli
    Gradoli is a small historic town in Italy’s Lazio region, situated in the hills above Lake Bolsena and known for its scenic views and Renaissance architecture.
  • D. Granz
    Granz is the surname of Norman Granz, the influential American jazz impresario and founder of several major jazz record labels.
  • E. Blizne
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec01f7b48190ba1ec89328b3fccb completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50419e7a0819087f9bc7fbfec4116 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50523dbb08190b1fd089092c1b2a6 completed March 14, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_69b50594e4888190b2db45eee2a988a7 completed March 14, 2026, 6:52 a.m.
Created at: March 9, 2026, 3:19 p.m.