Triple

T8404047
Position Surface form Disambiguated ID Type / Status
Subject East Jakarta E198448 entity
Predicate hasNotableArea P494 FINISHED
Object Cakung
Cakung is a large administrative district in East Jakarta, Indonesia, known for its mix of residential neighborhoods, industrial zones, and major transportation routes.
 E732520 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: Cakung | Statement: [East Jakarta, hasNotableArea, Cakung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cakung
Context triple: [East Jakarta, hasNotableArea, Cakung]
  • A. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • B. Sengkang
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • C. Sengcan
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • D. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • E. Cawang
    Cawang is an urban district in East Jakarta, Indonesia, known as a busy residential and commercial area with strategic access to major roads and transportation hubs.
  • 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: Cakung
Triple: [East Jakarta, hasNotableArea, Cakung]
Generated description
Cakung is a large administrative district in East Jakarta, Indonesia, known for its mix of residential neighborhoods, industrial zones, and major transportation routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cakung
Target entity description: Cakung is a large administrative district in East Jakarta, Indonesia, known for its mix of residential neighborhoods, industrial zones, and major transportation routes.
  • A. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • B. Sengkang
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • C. Sengcan
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • D. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • E. Cawang
    Cawang is an urban district in East Jakarta, Indonesia, known as a busy residential and commercial area with strategic access to major roads and transportation hubs.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb82505e0c81909549db59b7c4eb00 completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02ece0a88190bf64abaa8d202de3 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce077f25648190b9a95fb72f5b4f8c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08e192088190ad8170b1bedd568d completed April 2, 2026, 6:12 a.m.
Created at: March 30, 2026, 6:04 p.m.