Triple

T1351980
Position Surface form Disambiguated ID Type / Status
Subject Vanuatu languages E28901 entity
Predicate includesLanguage P2177 FINISHED
Object Kwamera
Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
 E153871 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: Kwamera | Statement: [Vanuatu languages, includesLanguage, Kwamera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kwamera
Context triple: [Vanuatu languages, includesLanguage, Kwamera]
  • A. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • B. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • C. Kiamu
    Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
  • D. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • E. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • 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: Kwamera
Triple: [Vanuatu languages, includesLanguage, Kwamera]
Generated description
Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kwamera
Target entity description: Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
  • A. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • B. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • C. Kiamu
    Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
  • D. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • E. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26b1b4881908ae4b1b2c9b268a0 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc63eef908190aef058396f63a5a4 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6dd15a481908cf870c87d469bc9 completed March 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69acc8072bb08190b1b7fb19fc2c0efc completed March 8, 2026, 12:51 a.m.
Created at: March 1, 2026, 7:56 p.m.