Triple

T21584893
Position Surface form Disambiguated ID Type / Status
Subject Miami Conservancy District E532621 entity
Predicate operatesDam P133348 FINISHED
Object Englewood Dam
Englewood Dam is a flood-control structure in Ohio that helps protect communities along the Great Miami River by regulating water flow and reducing flood risk.
 E1801772 NE FINISHED

How this triple was built (3 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: Englewood Dam | Statement: [Miami Conservancy District, operatesDam, Englewood Dam]
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: Englewood Dam
Triple: [Miami Conservancy District, operatesDam, Englewood Dam]
Generated description
Englewood Dam is a flood-control structure in Ohio that helps protect communities along the Great Miami River by regulating water flow and reducing flood risk.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: operatesDam
Context triple: [Miami Conservancy District, operatesDam, Englewood Dam]
  • A. damOperator chosen
    Indicates that one entity is responsible for operating, managing, or controlling the functioning of a dam associated with another entity.
  • B. operatedCanal
    Indicates that one entity managed and ran the functioning of a canal for another entity or in a given context.
  • C. operationOf
    Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
  • D. hasDamProject
    Indicates that an entity is associated with, involved in, or responsible for a specific dam construction or dam-related project.
  • E. typeOfCanalOperated
    Indicates that one entity operates or manages a canal of the specified type.
  • F. None of above.

Provenance (6 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8ca42288190b6336ab3e05b253c completed May 26, 2026, 4:22 p.m.
NEDg Description generation batch_6a15cac6172c8190b677d538dee18fb0 completed May 26, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_6a15cb48691081909c5dde3e9a0db8f4 completed May 26, 2026, 4:33 p.m.
PD Predicate disambiguation batch_69e632109d048190b4ac3f14fe48d1a0 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:31 p.m.