Triple

T3060648
Position Surface form Disambiguated ID Type / Status
Subject Greater Surabaya metropolitan area E60587 entity
Predicate hasComponent P35 FINISHED
Object Batu City
Batu City is a highland tourist city in East Java, Indonesia, known for its cool climate, mountain scenery, and numerous recreational attractions.
 E322622 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: Batu City | Statement: [Greater Surabaya metropolitan area, hasComponent, Batu City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batu City
Context triple: [Greater Surabaya metropolitan area, hasComponent, Batu City]
  • A. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • B. Karak
    Karak is a red-tailed black cockatoo known for serving as the official mascot of the 2006 Commonwealth Games in Melbourne, Australia.
  • C. Karak
    Karak is a town in Pakistan’s Khyber Pakhtunkhwa province known as the headquarters of Karak District and for its surrounding oil and gas reserves.
  • D. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • E. Termez
    Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
  • 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: Batu City
Triple: [Greater Surabaya metropolitan area, hasComponent, Batu City]
Generated description
Batu City is a highland tourist city in East Java, Indonesia, known for its cool climate, mountain scenery, and numerous recreational attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batu City
Target entity description: Batu City is a highland tourist city in East Java, Indonesia, known for its cool climate, mountain scenery, and numerous recreational attractions.
  • A. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • B. Karak
    Karak is a red-tailed black cockatoo known for serving as the official mascot of the 2006 Commonwealth Games in Melbourne, Australia.
  • C. Karak
    Karak is a town in Pakistan’s Khyber Pakhtunkhwa province known as the headquarters of Karak District and for its surrounding oil and gas reserves.
  • D. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • E. Termez
    Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9e1e248190b5ed5ebcdad1321e completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0e757481908eb1d9693474c49d completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efedc68481908c2fece012621f1f completed March 11, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69b1f07505c881909841f184af3e4319 completed March 11, 2026, 10:45 p.m.
Created at: March 8, 2026, 3:02 p.m.