Triple

T24891297
Position Surface form Disambiguated ID Type / Status
Subject Burrendong Dam E623008 entity
Predicate designedForFloodMitigationOf P158687 FINISHED
Object Macquarie River floodplain
The Macquarie River floodplain is a broad, low-lying alluvial landscape in central-western New South Wales, Australia, that is highly prone to flooding and supports extensive agricultural and ecological systems.
 E1649790 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: Macquarie River floodplain | Statement: [Burrendong Dam, designedForFloodMitigationOf, Macquarie River floodplain]
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: Macquarie River floodplain
Triple: [Burrendong Dam, designedForFloodMitigationOf, Macquarie River floodplain]
Generated description
The Macquarie River floodplain is a broad, low-lying alluvial landscape in central-western New South Wales, Australia, that is highly prone to flooding and supports extensive agricultural and ecological systems.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: designedForFloodMitigationOf
Context triple: [Burrendong Dam, designedForFloodMitigationOf, Macquarie River floodplain]
  • A. floodResistanceDesign
    Indicates that something is designed or engineered to withstand, mitigate, or remain functional during flooding conditions.
  • B. floodResistanceImproved
    Indicates that an entity’s ability to withstand or cope with flooding has been enhanced.
  • C. designedFloodLevel
    Indicates the flood level that a structure or system is specifically engineered to withstand or accommodate.
  • D. hasFloodProtectionInfrastructure
    Indicates that there exists built or implemented infrastructure designed to protect against or mitigate flooding for the referenced entity.
  • E. designedFloodDischarge
    Indicates the planned or specified amount of water flow that a structure or system is engineered to safely discharge during flood conditions.
  • F. None of above. chosen

Provenance (7 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_69e2fac597708190a922bf39a49ec70a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c6cbd688190aa3679767ca4e4bd completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a102367c6e0819092a483e21fc5cc6c completed May 22, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a10243c77748190a556b0e26d9a2a1c completed May 22, 2026, 9:39 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
PDg Predicate description generation batch_69f47b7f657c81908174590c811a3cbf completed May 1, 2026, 10:07 a.m.
Created at: April 18, 2026, 5:26 a.m.