Triple

T2844657
Position Surface form Disambiguated ID Type / Status
Subject Western Abenaki language E62554 entity
Predicate alsoKnownAs P39 FINISHED
Object Alnôba
Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
 E304072 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: Alnôba | Statement: [Western Abenaki language, alsoKnownAs, Alnôba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alnôba
Context triple: [Western Abenaki language, alsoKnownAs, Alnôba]
  • A. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • B. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • C. Olenyok
    Olenyok is a remote settlement in the Sakha Republic of Russia, located in the Arctic region and known for its extremely harsh climate and traditional Indigenous (Evenki and Yakut) culture.
  • D. Olonkinbyen
    Olonkinbyen is the small Norwegian research and military station that serves as the only inhabited settlement on the remote Arctic island of Jan Mayen.
  • E. Naknek
    Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
  • 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: Alnôba
Triple: [Western Abenaki language, alsoKnownAs, Alnôba]
Generated description
Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alnôba
Target entity description: Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • A. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • B. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • C. Olenyok
    Olenyok is a remote settlement in the Sakha Republic of Russia, located in the Arctic region and known for its extremely harsh climate and traditional Indigenous (Evenki and Yakut) culture.
  • D. Olonkinbyen
    Olonkinbyen is the small Norwegian research and military station that serves as the only inhabited settlement on the remote Arctic island of Jan Mayen.
  • E. Naknek
    Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d850b481909850ff5e89021824 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe990ce088190b42b20037c1eef3f completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b00d04f42081909d59e1ad1bec6c34 completed March 10, 2026, 12:22 p.m.
Created at: March 6, 2026, 10:02 p.m.