Triple

T6038057
Position Surface form Disambiguated ID Type / Status
Subject Paranaíba River E134470 entity
Predicate hasCityOnBank P7935 FINISHED
Object Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
E566495 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: Itumbiara | Statement: [Paranaíba River, hasCityOnBank, Itumbiara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itumbiara
Context triple: [Paranaíba River, hasCityOnBank, Itumbiara]
  • A. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Egushawa
    Egushawa was an 18th-century Ottawa war chief known for his prominent leadership in Native American resistance against United States expansion in the Old Northwest.
  • D. Duitama
    Duitama is a Colombian city in the Andean highlands known as an important commercial and transport hub within the Boyacá region.
  • E. Chamiti
    Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
  • 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: Itumbiara
Triple: [Paranaíba River, hasCityOnBank, Itumbiara]
Generated description
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Itumbiara
Target entity description: Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • A. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Egushawa
    Egushawa was an 18th-century Ottawa war chief known for his prominent leadership in Native American resistance against United States expansion in the Old Northwest.
  • D. Duitama
    Duitama is a Colombian city in the Andean highlands known as an important commercial and transport hub within the Boyacá region.
  • E. Chamiti
    Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ccac948190a27547878d4db8e4 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cfbb4cc81909736d5d041dd0b23 completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11e89c75481908381df126a7b1661 completed March 23, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69c11ef6971c8190b8dde5568b330b41 completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:08 p.m.