Triple

T13145673
Position Surface form Disambiguated ID Type / Status
Subject Hela Province E312328 entity
Predicate hasTown P847 FINISHED
Object Magarima
Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
 E1026148 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: Magarima | Statement: [Hela Province, hasTown, Magarima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magarima
Context triple: [Hela Province, hasTown, Magarima]
  • A. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • B. Gimira
    Gimira is an Omotic language spoken in southwestern Ethiopia, primarily by the Gimira (Bench) people.
  • C. Mirani
    Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
  • D. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • E. Yaudheya
    Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
  • 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: Magarima
Triple: [Hela Province, hasTown, Magarima]
Generated description
Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magarima
Target entity description: Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
  • A. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • B. Gimira
    Gimira is an Omotic language spoken in southwestern Ethiopia, primarily by the Gimira (Bench) people.
  • C. Mirani
    Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
  • D. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • E. Yaudheya
    Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d809948190aced5ce377402463 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f6e10f2481909b405169dd7e5cf9 completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f73b301881909d792dfebd2e468f completed May 3, 2026, 7:20 a.m.
Created at: April 9, 2026, 9:10 p.m.