Triple

T14238395
Position Surface form Disambiguated ID Type / Status
Subject Narara E352945 entity
Predicate nearbySuburb P41355 FINISHED
Object Lisarow
Lisarow is a semi-rural suburb on the Central Coast of New South Wales, Australia, known for its residential areas, light industry, and proximity to major transport links.
E1088234 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: Lisarow | Statement: [Narara, nearbySuburb, Lisarow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisarow
Context triple: [Narara, nearbySuburb, Lisarow]
  • A. Leyhof
    Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
  • B. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • C. Piershil
    Piershil is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Nouster
    Nouster is a small settlement on the Orkney island of North Ronaldsay in Scotland.
  • E. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • 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: Lisarow
Triple: [Narara, nearbySuburb, Lisarow]
Generated description
Lisarow is a semi-rural suburb on the Central Coast of New South Wales, Australia, known for its residential areas, light industry, and proximity to major transport links.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lisarow
Target entity description: Lisarow is a semi-rural suburb on the Central Coast of New South Wales, Australia, known for its residential areas, light industry, and proximity to major transport links.
  • A. Leyhof
    Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
  • B. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • C. Piershil
    Piershil is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Nouster
    Nouster is a small settlement on the Orkney island of North Ronaldsay in Scotland.
  • E. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62422e28819089e7115052a28c96 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281f80548190ad489c418f27e82c completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2b2363f881909e04edd850166dd5 completed May 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd2cf1a1248190a97644dadf1717bc completed May 8, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:08 a.m.