Triple

T9930027
Position Surface form Disambiguated ID Type / Status
Subject Bangka E192623 entity
Predicate hasCity P316 FINISHED
Object Sungailiat
Sungailiat is a coastal town on the island of Bangka in Indonesia, known for its tin mining history and nearby beaches.
E830550 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: Sungailiat | Statement: [Bangka, hasCity, Sungailiat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sungailiat
Context triple: [Bangka, hasCity, Sungailiat]
  • A. Batusangkar
    Batusangkar is a historic town in West Sumatra, Indonesia, known as a cultural center of the Minangkabau people and gateway to the scenic Minangkabau Highlands.
  • B. Muara Bulian
    Muara Bulian is a town in Jambi Province on the island of Sumatra, Indonesia, known as an administrative and economic center in the Batang Hari Regency.
  • C. Kuala Klawang
    Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
  • D. Sungai Penuh
    Sungai Penuh is a city in the highland Kerinci region of Jambi Province on the island of Sumatra, Indonesia, known as a gateway to the Kerinci Seblat National Park.
  • E. Muara Tebo
    Muara Tebo is a town in Jambi Province on the island of Sumatra in Indonesia, known as an administrative and economic center along the Batang Hari River.
  • 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: Sungailiat
Triple: [Bangka, hasCity, Sungailiat]
Generated description
Sungailiat is a coastal town on the island of Bangka in Indonesia, known for its tin mining history and nearby beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sungailiat
Target entity description: Sungailiat is a coastal town on the island of Bangka in Indonesia, known for its tin mining history and nearby beaches.
  • A. Batusangkar
    Batusangkar is a historic town in West Sumatra, Indonesia, known as a cultural center of the Minangkabau people and gateway to the scenic Minangkabau Highlands.
  • B. Muara Bulian
    Muara Bulian is a town in Jambi Province on the island of Sumatra, Indonesia, known as an administrative and economic center in the Batang Hari Regency.
  • C. Kuala Klawang
    Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
  • D. Sungai Penuh
    Sungai Penuh is a city in the highland Kerinci region of Jambi Province on the island of Sumatra, Indonesia, known as a gateway to the Kerinci Seblat National Park.
  • E. Muara Tebo
    Muara Tebo is a town in Jambi Province on the island of Sumatra in Indonesia, known as an administrative and economic center along the Batang Hari River.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b4196881909a004091a4203c45 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228cab0fc81908ff5fad6916c1bab completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22990ef5881908b6a6100d7dcf6e6 completed April 5, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69d22a0cb0808190a6119dc0268c50b9 completed April 5, 2026, 9:23 a.m.
Created at: March 30, 2026, 8:43 p.m.