Triple

T3330975
Position Surface form Disambiguated ID Type / Status
Subject Southern Tablelands E70031 entity
Predicate contains P35 FINISHED
Object Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
 E347939 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: Marulan | Statement: [Southern Tablelands, contains, Marulan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marulan
Context triple: [Southern Tablelands, contains, Marulan]
  • A. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • B. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • C. Rovenna
    Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • D. Valmur
    Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
  • E. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • 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: Marulan
Triple: [Southern Tablelands, contains, Marulan]
Generated description
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marulan
Target entity description: Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
  • A. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • B. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • C. Rovenna
    Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • D. Valmur
    Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
  • E. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb191e1988190a1d88596f6605aff completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a841c608190942e040c14f560d2 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c37f3a08190823c32e8f933ce82 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31caa4e188190b4dfd613fdaebdb6 completed March 12, 2026, 8:06 p.m.
Created at: March 8, 2026, 3:12 p.m.