Triple

T783902
Position Surface form Disambiguated ID Type / Status
Subject Corsica E16558 entity
Predicate hasCity P316 FINISHED
Object Propriano
Propriano is a coastal town and popular seaside resort on the southwest coast of the French island of Corsica, known for its marina, beaches, and scenic Gulf of Valinco setting.
 E93040 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: Propriano | Statement: [Corsica, hasCity, Propriano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Propriano
Context triple: [Corsica, hasCity, Propriano]
  • A. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • B. Epe
    Epe is a coastal town and local government area in Lagos State, Nigeria, known for its fishing communities, markets, and proximity to the Lekki Lagoon.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • E. Nera
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • 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: Propriano
Triple: [Corsica, hasCity, Propriano]
Generated description
Propriano is a coastal town and popular seaside resort on the southwest coast of the French island of Corsica, known for its marina, beaches, and scenic Gulf of Valinco setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Propriano
Target entity description: Propriano is a coastal town and popular seaside resort on the southwest coast of the French island of Corsica, known for its marina, beaches, and scenic Gulf of Valinco setting.
  • A. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • B. Epe
    Epe is a coastal town and local government area in Lagos State, Nigeria, known for its fishing communities, markets, and proximity to the Lekki Lagoon.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • E. Nera
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a769dc6481908f12e872f997acf3 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733c2e608190962440d6ef637784 completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a673ccc2308190a887ada146290de8 completed March 3, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a6742d7ba881909385cbc51a2ed7bd completed March 3, 2026, 5:39 a.m.
Created at: March 1, 2026, 7:37 p.m.