Triple

T8527158
Position Surface form Disambiguated ID Type / Status
Subject North Jakarta E201845 entity
Predicate contains P35 FINISHED
Object Koja
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
 E741875 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: Koja | Statement: [North Jakarta, contains, Koja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koja
Context triple: [North Jakarta, contains, Koja]
  • A. Koibal
    Koibal is an extinct Samoyedic language formerly spoken by the Koibal people in southern Siberia, Russia.
  • B. Kö
    Kö is the colloquial name for Königsallee, Düsseldorf’s famous luxury shopping boulevard known for its upscale boutiques and central canal.
  • C. Kokona
    Kokona is a local government area in Nasarawa State, Nigeria, serving as an administrative subdivision of the state.
  • D. Kiso
    Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
  • E. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • 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: Koja
Triple: [North Jakarta, contains, Koja]
Generated description
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koja
Target entity description: Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
  • A. Koibal
    Koibal is an extinct Samoyedic language formerly spoken by the Koibal people in southern Siberia, Russia.
  • B. Kö
    Kö is the colloquial name for Königsallee, Düsseldorf’s famous luxury shopping boulevard known for its upscale boutiques and central canal.
  • C. Kokona
    Kokona is a local government area in Nasarawa State, Nigeria, serving as an administrative subdivision of the state.
  • D. Kiso
    Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
  • E. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:16 p.m.