Triple

T13471246
Position Surface form Disambiguated ID Type / Status
Subject City of Port Adelaide Enfield E311634 entity
Predicate contains P35 FINISHED
Object Taperoo
Taperoo is a coastal suburb in Adelaide, South Australia, known for its residential areas and proximity to Gulf St Vincent.
 E1042278 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: Taperoo | Statement: [City of Port Adelaide Enfield, contains, Taperoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taperoo
Context triple: [City of Port Adelaide Enfield, contains, Taperoo]
  • A. Tupe
    Tupe is a small Andean town in Peru known for preserving the unique Jaqaru indigenous language and culture.
  • B. Tapaz
    Tapaz is a landlocked agricultural municipality in the province of Capiz on Panay Island in the Philippines, known for its rural landscapes and river valleys.
  • C. Tarouca
    Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
  • D. Tapalpa
    Tapalpa is a picturesque mountain town in the Mexican state of Jalisco, known for its colonial architecture, pine forests, and outdoor recreation.
  • E. Tappara
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • 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: Taperoo
Triple: [City of Port Adelaide Enfield, contains, Taperoo]
Generated description
Taperoo is a coastal suburb in Adelaide, South Australia, known for its residential areas and proximity to Gulf St Vincent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taperoo
Target entity description: Taperoo is a coastal suburb in Adelaide, South Australia, known for its residential areas and proximity to Gulf St Vincent.
  • A. Tupe
    Tupe is a small Andean town in Peru known for preserving the unique Jaqaru indigenous language and culture.
  • B. Tapaz
    Tapaz is a landlocked agricultural municipality in the province of Capiz on Panay Island in the Philippines, known for its rural landscapes and river valleys.
  • C. Tarouca
    Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
  • D. Tapalpa
    Tapalpa is a picturesque mountain town in the Mexican state of Jalisco, known for its colonial architecture, pine forests, and outdoor recreation.
  • E. Tappara
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf22e5f88190b1078f006c8ef7c0 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462bcb848190804a48f1a50a0c71 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74af641f881908af981d251e671be completed May 3, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_69f74b78bd508190a10708572a6e9309 completed May 3, 2026, 1:19 p.m.
Created at: April 9, 2026, 9:42 p.m.