Triple

T16350452
Position Surface form Disambiguated ID Type / Status
Subject Palembang LRT E397047 entity
Predicate connectsDistrict P2564 FINISHED
Object Ilir Timur
Ilir Timur is a district in Palembang, Indonesia, known as one of the urban areas served by the city's light rail transit system.
 E1209149 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: Ilir Timur | Statement: [Palembang LRT, connectsDistrict, Ilir Timur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilir Timur
Context triple: [Palembang LRT, connectsDistrict, Ilir Timur]
  • A. Soeste
    Soeste is a river in Lower Saxony, Germany, known as a tributary of the Leda.
  • B. Ilir
    Ilir is a masculine given name commonly used in Albania and other Albanian-speaking regions.
  • C. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • D. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • E. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • 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: Ilir Timur
Triple: [Palembang LRT, connectsDistrict, Ilir Timur]
Generated description
Ilir Timur is a district in Palembang, Indonesia, known as one of the urban areas served by the city's light rail transit system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilir Timur
Target entity description: Ilir Timur is a district in Palembang, Indonesia, known as one of the urban areas served by the city's light rail transit system.
  • A. Soeste
    Soeste is a river in Lower Saxony, Germany, known as a tributary of the Leda.
  • B. Ilir
    Ilir is a masculine given name commonly used in Albania and other Albanian-speaking regions.
  • C. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • D. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • E. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facb37d0819093fe45446f1e79c1 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db40e0481908d919f2285e48a23 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a003082f0008190aeae2fbbfc3a8acf completed May 10, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a00312a4fc48190b6bd6ad9db71bb4d completed May 10, 2026, 7:18 a.m.
Created at: April 10, 2026, 5:07 a.m.