Triple

T22367478
Position Surface form Disambiguated ID Type / Status
Subject Standard Liège E552945 entity
Predicate nickname P55 FINISHED
Object Les Rouches
Les Rouches is the popular nickname of Belgian football club Standard Liège, referring to the team’s traditional red colors and passionate identity.
E1533159 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: Les Rouches | Statement: [Standard Liège, nickname, Les Rouches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Rouches
Context triple: [Standard Liège, nickname, Les Rouches]
  • A. La Duchère
    La Duchère is a residential district in Lyon known for its large post-war housing estates, urban renewal projects, and hilltop views over the city.
  • B. La Roche-Bernard
    La Roche-Bernard is a small historic town in western France known for its picturesque port and cliffs overlooking the Vilaine River.
  • C. Jacquère
    Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
  • D. Laroque
    Laroque is a picturesque village in southern France known for its medieval architecture and scenic location along the Hérault River.
  • E. Rousselot
    Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
  • 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: Les Rouches
Triple: [Standard Liège, nickname, Les Rouches]
Generated description
Les Rouches is the popular nickname of Belgian football club Standard Liège, referring to the team’s traditional red colors and passionate identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Les Rouches
Target entity description: Les Rouches is the popular nickname of Belgian football club Standard Liège, referring to the team’s traditional red colors and passionate identity.
  • A. La Duchère
    La Duchère is a residential district in Lyon known for its large post-war housing estates, urban renewal projects, and hilltop views over the city.
  • B. La Roche-Bernard
    La Roche-Bernard is a small historic town in western France known for its picturesque port and cliffs overlooking the Vilaine River.
  • C. Jacquère
    Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
  • D. Laroque
    Laroque is a picturesque village in southern France known for its medieval architecture and scenic location along the Hérault River.
  • E. Rousselot
    Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158017400819094ebf7f91c26a724 completed April 29, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae0685c7881908d0ed5fee6d17b5f completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae4812f4481908ed0e00937419241 completed May 18, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae515d6808190bc7bee259c12ca6e completed May 18, 2026, 10:08 a.m.
Created at: April 16, 2026, 8:44 p.m.