Triple

T1366186
Position Surface form Disambiguated ID Type / Status
Subject East Java E30008 entity
Predicate hasMajorCity P316 FINISHED
Object Trenggalek
Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
E220969 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: Trenggalek | Statement: [East Java, hasMajorCity, Trenggalek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trenggalek
Context triple: [East Java, hasMajorCity, Trenggalek]
  • A. Mojokerto
    Mojokerto is a city in Indonesia known for its historical significance as part of the former Majapahit Empire and its location in the province of East Java.
  • B. Tulungagung
    Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
  • C. Probolinggo
    Probolinggo is a coastal city in East Java, Indonesia, known as a common gateway for tourists visiting the Mount Bromo volcanic area.
  • D. Ponorogo
    Ponorogo is a regency-level town in Indonesia renowned as the cultural heartland of the Reog Ponorogo traditional dance and arts.
  • E. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • 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: Trenggalek
Triple: [East Java, hasMajorCity, Trenggalek]
Generated description
Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trenggalek
Target entity description: Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
  • A. Mojokerto
    Mojokerto is a city in Indonesia known for its historical significance as part of the former Majapahit Empire and its location in the province of East Java.
  • B. Tulungagung
    Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
  • C. Probolinggo
    Probolinggo is a coastal city in East Java, Indonesia, known as a common gateway for tourists visiting the Mount Bromo volcanic area.
  • D. Ponorogo
    Ponorogo is a regency-level town in Indonesia renowned as the cultural heartland of the Reog Ponorogo traditional dance and arts.
  • E. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f56b348190b71875b0c839c729 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae0354854c8190873938e03d56db21 completed March 8, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69ae039c7728819086acf060afcbe5b6 completed March 8, 2026, 11:17 p.m.
Created at: March 1, 2026, 7:57 p.m.