Triple

T10071980
Position Surface form Disambiguated ID Type / Status
Subject Rio Largo E213650 entity
Predicate abbreviation P43 FINISHED
Object Rio Largo, AL
Rio Largo, AL is a municipality in the state of Alagoas, Brazil, known for its proximity to the state capital Maceió and its role in the region’s industrial and agricultural activities.
 E839375 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: Rio Largo, AL | Statement: [Rio Largo, abbreviation, Rio Largo, AL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rio Largo, AL
Context triple: [Rio Largo, abbreviation, Rio Largo, AL]
  • A. Riverside, Alabama
    Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
  • B. Riverview, Alabama
    Riverview, Alabama is a small town located in Escambia County in the southern part of the U.S. state of Alabama.
  • C. Lakeview, Alabama
    Lakeview, Alabama is a small unincorporated community located in DeKalb County in the northeastern part of the state.
  • D. Triana, Alabama
    Triana, Alabama is a small town in Madison County that forms part of the Huntsville metropolitan area.
  • E. Lanett, Alabama
    Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
  • 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: Rio Largo, AL
Triple: [Rio Largo, abbreviation, Rio Largo, AL]
Generated description
Rio Largo, AL is a municipality in the state of Alagoas, Brazil, known for its proximity to the state capital Maceió and its role in the region’s industrial and agricultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rio Largo, AL
Target entity description: Rio Largo, AL is a municipality in the state of Alagoas, Brazil, known for its proximity to the state capital Maceió and its role in the region’s industrial and agricultural activities.
  • A. Riverside, Alabama
    Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
  • B. Riverview, Alabama
    Riverview, Alabama is a small town located in Escambia County in the southern part of the U.S. state of Alabama.
  • C. Lakeview, Alabama
    Lakeview, Alabama is a small unincorporated community located in DeKalb County in the northeastern part of the state.
  • D. Triana, Alabama
    Triana, Alabama is a small town in Madison County that forms part of the Huntsville metropolitan area.
  • E. Lanett, Alabama
    Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd01279388190b94c8def00425c78 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29e8617c08190bf4fb02ac40caba3 completed April 5, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d29f20b2f48190906d7e53fb1e5544 completed April 5, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:59 p.m.