Triple

T20834551
Position Surface form Disambiguated ID Type / Status
Subject Elwana language E512923 entity
Predicate hasAlternateName P39 FINISHED
Object Kielwana
Kielwana is an alternate name for the Elwana language, a lesser-known African language spoken by the Elwana people.
E1452003 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: Kielwana | Statement: [Elwana language, hasAlternateName, Kielwana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kielwana
Context triple: [Elwana language, hasAlternateName, Kielwana]
  • A. Kiebu
    Kiebu is the main settlement and administrative center of the island of Makin in Kiribati.
  • B. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • C. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • D. Kaileuna
    Kaileuna is one of the inhabited islands of Papua New Guinea’s Trobriand archipelago in the Solomon Sea.
  • E. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula 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: Kielwana
Triple: [Elwana language, hasAlternateName, Kielwana]
Generated description
Kielwana is an alternate name for the Elwana language, a lesser-known African language spoken by the Elwana people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kielwana
Target entity description: Kielwana is an alternate name for the Elwana language, a lesser-known African language spoken by the Elwana people.
  • A. Kiebu
    Kiebu is the main settlement and administrative center of the island of Makin in Kiribati.
  • B. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • C. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • D. Kaileuna
    Kaileuna is one of the inhabited islands of Papua New Guinea’s Trobriand archipelago in the Solomon Sea.
  • E. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32554648190bd66ac99b3a9072b completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090084a1c481909a344ee40d846b10 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0900fd590c8190b42faa5c5191189a completed May 16, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0901950c1c8190befa72dc20236b9e completed May 16, 2026, 11:45 p.m.
Created at: April 16, 2026, 12:42 p.m.