Triple

T13143654
Position Surface form Disambiguated ID Type / Status
Subject Toltén E312277 entity
Predicate locatedNear P294 FINISHED
Object Queule
Queule is a small coastal town in southern Chile known for its fishing community and scenic Pacific shoreline.
 E1025032 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: Queule | Statement: [Toltén, locatedNear, Queule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Queule
Context triple: [Toltén, locatedNear, Queule]
  • A. Cheux
    Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Queich
    The Queich is a river in southwestern Germany that flows from the Palatinate Forest through the Palatinate region before joining the Rhine.
  • C. La Quar
    La Quar is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and traditional Catalan character.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Bigorre
    Bigorre is a historic cultural region in southwestern France, centered around the foothills of the Pyrenees and now largely within the modern Occitanie administrative region.
  • 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: Queule
Triple: [Toltén, locatedNear, Queule]
Generated description
Queule is a small coastal town in southern Chile known for its fishing community and scenic Pacific shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Queule
Target entity description: Queule is a small coastal town in southern Chile known for its fishing community and scenic Pacific shoreline.
  • A. Cheux
    Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Queich
    The Queich is a river in southwestern Germany that flows from the Palatinate Forest through the Palatinate region before joining the Rhine.
  • C. La Quar
    La Quar is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous landscape and traditional Catalan character.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Bigorre
    Bigorre is a historic cultural region in southwestern France, centered around the foothills of the Pyrenees and now largely within the modern Occitanie administrative region.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae4a87881908be57e15f001c904 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f05a3dd48190a8b2c52f64a2edd0 completed May 3, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_69f6f1a7c8108190a9668d2f0bb634b1 completed May 3, 2026, 6:56 a.m.
Created at: April 9, 2026, 9:10 p.m.