Triple

T1103778
Position Surface form Disambiguated ID Type / Status
Subject Rio Grande do Norte E25441 entity
Predicate hasCity P316 FINISHED
Object Assu
Assu is a municipality in the Brazilian state of Rio Grande do Norte, known for its regional commerce and cultural traditions in the semi-arid Northeast.
 E125388 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: Assu | Statement: [Rio Grande do Norte, hasCity, Assu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Assu
Context triple: [Rio Grande do Norte, hasCity, Assu]
  • A. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • B. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • C. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, 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: Assu
Triple: [Rio Grande do Norte, hasCity, Assu]
Generated description
Assu is a municipality in the Brazilian state of Rio Grande do Norte, known for its regional commerce and cultural traditions in the semi-arid Northeast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Assu
Target entity description: Assu is a municipality in the Brazilian state of Rio Grande do Norte, known for its regional commerce and cultural traditions in the semi-arid Northeast.
  • A. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • B. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • C. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4a402081908ee138257425a336 completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4ccf989c8190aed2ff01ad6fbcab completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d4cbed88190ac743160198493b2 completed March 7, 2026, 4:07 p.m.
Created at: March 1, 2026, 7:43 p.m.