Triple

T2166615
Position Surface form Disambiguated ID Type / Status
Subject Mary of Hungary E46922 entity
Predicate placeOfDeath P21 FINISHED
Object Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
E274914 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: Cigales | Statement: [Mary of Hungary, placeOfDeath, Cigales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cigales
Context triple: [Mary of Hungary, placeOfDeath, Cigales]
  • A. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • B. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • C. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Faya-Largeau
    Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
  • 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: Cigales
Triple: [Mary of Hungary, placeOfDeath, Cigales]
Generated description
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cigales
Target entity description: Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • A. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • B. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • C. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Faya-Largeau
    Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeab223881908aaa2bc4f85329cc completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b5824ac81909f071511907145e8 completed March 9, 2026, 8:19 p.m.
NEDg Description generation batch_69af4fbf48648190ac711a2e1974f9b7 completed March 9, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69af50551fd88190829d20ab2be426d4 completed March 9, 2026, 10:57 p.m.
Created at: March 4, 2026, 7:45 p.m.