Triple

T18312034
Position Surface form Disambiguated ID Type / Status
Subject Tulang Bawang Regency E438651 entity
Predicate capital P234 FINISHED
Object Menggala
Menggala is a town in Lampung Province on the island of Sumatra, Indonesia, known historically as an important inland river port and administrative center.
 E1318012 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: Menggala | Statement: [Tulang Bawang Regency, capital, Menggala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Menggala
Context triple: [Tulang Bawang Regency, capital, Menggala]
  • A. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • B. Bailundo
    Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
  • C. Samal
    Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
  • D. Samal
    Samal refers to the Sama people, a seafaring Austronesian ethnic group of Maritime Southeast Asia known for their traditional boat-dwelling lifestyle.
  • E. Guzara
    Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
  • 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: Menggala
Triple: [Tulang Bawang Regency, capital, Menggala]
Generated description
Menggala is a town in Lampung Province on the island of Sumatra, Indonesia, known historically as an important inland river port and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Menggala
Target entity description: Menggala is a town in Lampung Province on the island of Sumatra, Indonesia, known historically as an important inland river port and administrative center.
  • A. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • B. Bailundo
    Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
  • C. Samal
    Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
  • D. Samal
    Samal refers to the Sama people, a seafaring Austronesian ethnic group of Maritime Southeast Asia known for their traditional boat-dwelling lifestyle.
  • E. Guzara
    Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4bf498c8190ba7ba700ab643c9a completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c592f7d0819082d600901da2c2f6 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c63ec8c48190bad47d423ab2cfe7 completed May 13, 2026, 12:30 a.m.
Created at: April 10, 2026, 10:36 a.m.