Triple

T35027915
Position Surface form Disambiguated ID Type / Status
Subject Market Street, Sydney E1010392 entity
Predicate hasEndA P38695 FINISHED
Object Sussex Street, Sydney
Sussex Street, Sydney is a major street in Sydney’s central business district known for its mix of commercial buildings, hotels, and proximity to Darling Harbour.
 E2122906 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: Sussex Street, Sydney | Statement: [Market Street, Sydney, hasEndA, Sussex Street, Sydney]
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: Sussex Street, Sydney
Triple: [Market Street, Sydney, hasEndA, Sussex Street, Sydney]
Generated description
Sussex Street, Sydney is a major street in Sydney’s central business district known for its mix of commercial buildings, hotels, and proximity to Darling Harbour.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasEndA
Context triple: [Market Street, Sydney, hasEndA, Sussex Street, Sydney]
  • A. hasEnd chosen
    Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
  • B. hasEnding
    Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
  • C. hasEndConstruction
    Indicates that an entity is associated with, or terminates in, a specific construction or structural element at its end.
  • D. canEndOn
    Indicates that one entity is allowed or able to terminate, conclude, or finish with another specified entity or condition.
  • E. hasCapitalAtEnd
    Indicates that the capital or uppercase letter appears at the end of the given string or sequence.
  • 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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd5bf69acc819092a01e4259785dc3 completed May 8, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37bd272e5c819090dd24e785ebf745 completed June 21, 2026, 10:29 a.m.
NEDg Description generation batch_6a37bda6c4408190a6f09442687dae28 completed June 21, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a37bf374b7081908687f2997935411e completed June 21, 2026, 10:38 a.m.
PD Predicate disambiguation batch_69fd59b3f4ac8190a7f9dd3142da6e09 completed May 8, 2026, 3:34 a.m.
Created at: May 3, 2026, 4:01 p.m.