Triple

T13218968
Position Surface form Disambiguated ID Type / Status
Subject Cowra Shire E314697 entity
Predicate contains P35 FINISHED
Object Morongla
Morongla is a rural locality within New South Wales, Australia, known for its agricultural landscape and small community setting.
 E1030986 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: Morongla | Statement: [Cowra Shire, contains, Morongla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morongla
Context triple: [Cowra Shire, contains, Morongla]
  • A. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • B. Morong
    Morong is a coastal municipality in the Philippine province of Rizal known for its historic church and proximity to Metro Manila.
  • C. Morong
    Morong is a coastal municipality in the Philippine province of Bataan known for its beaches, eco-tourism sites, and the Pawikan (sea turtle) Conservation Center.
  • D. Morungaba
    Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
  • E. Mungia
    Mungia is a town and municipality in the province of Biscay in Spain’s Basque Country.
  • 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: Morongla
Triple: [Cowra Shire, contains, Morongla]
Generated description
Morongla is a rural locality within New South Wales, Australia, known for its agricultural landscape and small community setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morongla
Target entity description: Morongla is a rural locality within New South Wales, Australia, known for its agricultural landscape and small community setting.
  • A. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • B. Morong
    Morong is a coastal municipality in the Philippine province of Rizal known for its historic church and proximity to Metro Manila.
  • C. Morong
    Morong is a coastal municipality in the Philippine province of Bataan known for its beaches, eco-tourism sites, and the Pawikan (sea turtle) Conservation Center.
  • D. Morungaba
    Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
  • E. Mungia
    Mungia is a town and municipality in the province of Biscay in Spain’s Basque Country.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf392e08190949ee4d194566395 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a31c8748190a24256a7dd1e346b completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70bc5111c8190ae5b098c806bb845 completed May 3, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:18 p.m.