Triple

T11110382
Position Surface form Disambiguated ID Type / Status
Subject Stoumont E262738 entity
Predicate contains P35 FINISHED
Object Lorcé
Lorcé is a small village in the municipality of Stoumont in the province of Liège, Belgium.
E916667 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: Lorcé | Statement: [Stoumont, contains, Lorcé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorcé
Context triple: [Stoumont, contains, Lorcé]
  • A. Sully-sur-Loire
    Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
  • B. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • C. Serigny
    Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
  • D. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • E. Lézigné
    Lézigné is a small commune in western France, known as the birthplace of renowned theater and film director Patrice Chéreau.
  • 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: Lorcé
Triple: [Stoumont, contains, Lorcé]
Generated description
Lorcé is a small village in the municipality of Stoumont in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorcé
Target entity description: Lorcé is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • A. Sully-sur-Loire
    Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
  • B. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • C. Serigny
    Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
  • D. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • E. Lézigné
    Lézigné is a small commune in western France, known as the birthplace of renowned theater and film director Patrice Chéreau.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509cd971c8190bdaa7b3c8a1f32f2 completed April 19, 2026, 4:58 p.m.
NEDg Description generation batch_69e510f7bec08190989118b6e4a7fa49 completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e5168c8da0819093bf61d8ea5f9e35 completed April 19, 2026, 5:53 p.m.
Created at: April 8, 2026, 9:27 p.m.