Triple

T11624604
Position Surface form Disambiguated ID Type / Status
Subject Seremban E276229 entity
Predicate hasSubdivision P747 FINISHED
Object Temiang
Temiang is a local area and state constituency within the city of Seremban in Negeri Sembilan, Malaysia.
E938297 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: Temiang | Statement: [Seremban, hasSubdivision, Temiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temiang
Context triple: [Seremban, hasSubdivision, Temiang]
  • A. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Djilang
    Djilang is the traditional Aboriginal name for the area now known as Geelong, a coastal city in Victoria, Australia.
  • C. Talang
    Talang is a Swedish televised talent competition series that showcases performers of all ages in various disciplines.
  • D. Tumpang
    Tumpang is a subdistrict in Malang Regency, East Java, Indonesia, known for its proximity to historical temples and as a gateway to the Bromo-Tengger-Semeru area.
  • E. Gisir
    Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
  • 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: Temiang
Triple: [Seremban, hasSubdivision, Temiang]
Generated description
Temiang is a local area and state constituency within the city of Seremban in Negeri Sembilan, Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Temiang
Target entity description: Temiang is a local area and state constituency within the city of Seremban in Negeri Sembilan, Malaysia.
  • A. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Djilang
    Djilang is the traditional Aboriginal name for the area now known as Geelong, a coastal city in Victoria, Australia.
  • C. Talang
    Talang is a Swedish televised talent competition series that showcases performers of all ages in various disciplines.
  • D. Tumpang
    Tumpang is a subdistrict in Malang Regency, East Java, Indonesia, known for its proximity to historical temples and as a gateway to the Bromo-Tengger-Semeru area.
  • E. Gisir
    Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87745b388190a78958fa0c08b89b completed April 26, 2026, 9:45 p.m.
NEDg Description generation batch_69eeb3137f4c8190ba8ac48b2cb419b4 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9845bec81909f0f9b005f75249a completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.