Triple

T5974491
Position Surface form Disambiguated ID Type / Status
Subject Duke of Huéscar E132950 entity
Predicate associatedWithTerritory P12445 FINISHED
Object Huéscar
Huéscar is a historic town and municipality in the province of Granada in Andalusia, southern Spain.
E560178 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: Huéscar | Statement: [Duke of Huéscar, associatedWithTerritory, Huéscar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huéscar
Context triple: [Duke of Huéscar, associatedWithTerritory, Huéscar]
  • A. Montilla
    Montilla is a town in the province of Córdoba, Andalusia, Spain, known for its wine production and historical significance.
  • B. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • C. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • D. Barbastro
    Barbastro is a historic town in the Aragon region of northeastern Spain, known for its wine production and medieval architecture.
  • E. Caseres
    Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
  • 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: Huéscar
Triple: [Duke of Huéscar, associatedWithTerritory, Huéscar]
Generated description
Huéscar is a historic town and municipality in the province of Granada in Andalusia, southern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huéscar
Target entity description: Huéscar is a historic town and municipality in the province of Granada in Andalusia, southern Spain.
  • A. Montilla
    Montilla is a town in the province of Córdoba, Andalusia, Spain, known for its wine production and historical significance.
  • B. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • C. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • D. Barbastro
    Barbastro is a historic town in the Aragon region of northeastern Spain, known for its wine production and medieval architecture.
  • E. Caseres
    Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a39c9d08190a78e1e3268584eb5 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e41459c88190a9e0ee0321946e57 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f70f5af08190a42233eaf6fbf736 completed March 23, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0f8c533f881908a4f7d84a7e8ee31 completed March 23, 2026, 8:24 a.m.
Created at: March 22, 2026, 4:03 p.m.