Triple

T2734314
Position Surface form Disambiguated ID Type / Status
Subject Persebaya Surabaya E60591 entity
Predicate cityInDerby P41726 FINISHED
Object Surabaya E9894 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: Surabaya | Statement: [Persebaya Surabaya, cityInDerby, Surabaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surabaya
Context triple: [Persebaya Surabaya, cityInDerby, Surabaya]
  • A. Surabaya chosen
    Surabaya is Indonesia’s second-largest city and a key commercial and industrial hub on the island of Java, historically serving as one of the region’s most important seaports.
  • B. Malang
    Malang is a major city in East Java, Indonesia, known for its cool climate, colonial-era architecture, and proximity to popular mountain and volcanic tourist destinations.
  • C. Surakarta
    Surakarta is a historic Javanese city in Central Java, Indonesia, renowned as a traditional cultural center and royal court city closely associated with classical arts such as gamelan music and dance.
  • D. Kediri
    Kediri is a historic city in Indonesia known for its role as a former Javanese kingdom center and as an important economic hub in modern East Java.
  • E. Jember
    Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityInDerby
Context triple: [Persebaya Surabaya, cityInDerby, Surabaya]
  • A. homeCityDerby
    Indicates that two sports teams are based in the same city and their match-up constitutes a local rivalry or derby.
  • B. cityDerby
    Indicates a competitive or rivalry relationship between two cities, often in sports or similar local contests.
  • C. city1
    Indicates that the subject is classified as a city.
  • D. derby
    Indicates a competitive match or contest, typically between closely linked or rival entities (such as teams from the same area or group).
  • E. city2
    Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce859ffc8190b88f82af50238215 completed March 10, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd82859348190bce3be8f2e9d60ba completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd968b2148190929af432c9d8001f completed March 7, 2026, 7:53 a.m.
Created at: March 6, 2026, 9:56 p.m.