Triple

T15549081
Position Surface form Disambiguated ID Type / Status
Subject Madiun Regency E370692 entity
Predicate capital P234 FINISHED
Object Caruban
Caruban is an administrative town in East Java, Indonesia, serving as the governmental center of Madiun Regency.
E1163189 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: Caruban | Statement: [Madiun Regency, capital, Caruban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caruban
Context triple: [Madiun Regency, capital, Caruban]
  • A. Karu
    Karu was the personal name of Emperor Monmu, an 8th-century ruler of Japan from the Asuka/Nara period.
  • B. Karu
    Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
  • C. Mararaba
    Mararaba is a rapidly growing suburban town near Abuja in central Nigeria, known for its dense population and heavy commuter traffic.
  • D. Karuah
    Karuah is a small town in New South Wales, Australia, known for its location on the Karuah River and its fishing and oyster-farming activities.
  • E. Chabi
    Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
  • 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: Caruban
Triple: [Madiun Regency, capital, Caruban]
Generated description
Caruban is an administrative town in East Java, Indonesia, serving as the governmental center of Madiun Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caruban
Target entity description: Caruban is an administrative town in East Java, Indonesia, serving as the governmental center of Madiun Regency.
  • A. Karu
    Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
  • B. Karu
    Karu was the personal name of Emperor Monmu, an 8th-century ruler of Japan from the Asuka/Nara period.
  • C. Mararaba
    Mararaba is a rapidly growing suburban town near Abuja in central Nigeria, known for its dense population and heavy commuter traffic.
  • D. Karuah
    Karuah is a small town in New South Wales, Australia, known for its location on the Karuah River and its fishing and oyster-farming activities.
  • E. Chabi
    Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455dfbcc8190a93e90c59b2d3045 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff467e5d6c8190ba3bf6557e683233 completed May 9, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff470912bc8190a42ee312aca55872 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:08 a.m.