Triple

T1434383
Position Surface form Disambiguated ID Type / Status
Subject Eureka Tower E30524 entity
Predicate mainContractor P7138 FINISHED
Object Grocon
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
 E163477 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: Grocon | Statement: [Eureka Tower, mainContractor, Grocon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grocon
Context triple: [Eureka Tower, mainContractor, Grocon]
  • A. Gala Brand
    Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
  • B. Branobel
    Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
  • C. Brinker
    Brinker is the surname of Nancy Goodman Brinker, the American businesswoman and philanthropist who founded the Susan G. Komen breast cancer organization.
  • D. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Northesk
    Northesk is the territorial designation associated with the Scottish peerage title Earl of Northesk, historically linked to the Carnegie family.
  • 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: Grocon
Triple: [Eureka Tower, mainContractor, Grocon]
Generated description
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grocon
Target entity description: Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
  • A. Gala Brand
    Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
  • B. Branobel
    Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
  • C. Brinker
    Brinker is the surname of Nancy Goodman Brinker, the American businesswoman and philanthropist who founded the Susan G. Komen breast cancer organization.
  • D. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Northesk
    Northesk is the territorial designation associated with the Scottish peerage title Earl of Northesk, historically linked to the Carnegie family.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c500a9888190a16fbb1ec97a79c9 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad017084908190a81a784ae4a53c21 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad0259651c8190890e45c1786a9a50 completed March 8, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69ad03018aa4819090020ba89a11d0cd completed March 8, 2026, 5:02 a.m.
Created at: March 1, 2026, 8 p.m.