Triple

T3698861
Position Surface form Disambiguated ID Type / Status
Subject Évora District E78524 entity
Predicate contains P35 FINISHED
Object Sousel
Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
 E380687 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: Sousel | Statement: [Évora District, contains, Sousel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sousel
Context triple: [Évora District, contains, Sousel]
  • A. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • B. Sovana
    Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • E. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • 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: Sousel
Triple: [Évora District, contains, Sousel]
Generated description
Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sousel
Target entity description: Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
  • A. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • B. Sovana
    Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • E. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc512ba188190a15bcacafac3f476 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3dbb7fc81909df2e7a4755cce28 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c7a89eac819090ce443784e1a326 completed March 14, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69b4c88111c08190b0c275898437fdab completed March 14, 2026, 2:31 a.m.
Created at: March 8, 2026, 3:26 p.m.