Triple

T10062893
Position Surface form Disambiguated ID Type / Status
Subject South Kalimantan E213030 entity
Predicate hasMajorCity P316 FINISHED
Object Kandangan
Kandangan is a notable town and administrative center in South Kalimantan, Indonesia, known for its traditional Banjar culture and regional trade.
E839530 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: Kandangan | Statement: [South Kalimantan, hasMajorCity, Kandangan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandangan
Context triple: [South Kalimantan, hasMajorCity, Kandangan]
  • A. Prabumulih
    Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
  • B. Citeureup
    Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
  • C. Tanjungsari
    Tanjungsari is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
  • D. Kertawardhana
    Kertawardhana was a Javanese royal figure known primarily as the consort of Majapahit ruler Tribhuwana Wijayatunggadewi and a member of the Majapahit dynasty.
  • E. Jatibarang
    Jatibarang is a town in West Java, Indonesia, situated near the Cimanuk River and known as a local agricultural and trading center.
  • 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: Kandangan
Triple: [South Kalimantan, hasMajorCity, Kandangan]
Generated description
Kandangan is a notable town and administrative center in South Kalimantan, Indonesia, known for its traditional Banjar culture and regional trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kandangan
Target entity description: Kandangan is a notable town and administrative center in South Kalimantan, Indonesia, known for its traditional Banjar culture and regional trade.
  • A. Prabumulih
    Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
  • B. Citeureup
    Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
  • C. Tanjungsari
    Tanjungsari is a district-level administrative area located within Bogor Regency in West Java, Indonesia.
  • D. Kertawardhana
    Kertawardhana was a Javanese royal figure known primarily as the consort of Majapahit ruler Tribhuwana Wijayatunggadewi and a member of the Majapahit dynasty.
  • E. Jatibarang
    Jatibarang is a town in West Java, Indonesia, situated near the Cimanuk River and known as a local agricultural and trading center.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a7bd56c8190a6c43df26db880f4 completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:58 p.m.