Triple

T9693552
Position Surface form Disambiguated ID Type / Status
Subject Keresan languages E234592 entity
Predicate hasAlternativeName P39 FINISHED
Object Keres
Keres is a group of closely related Native American languages spoken by the Keresan Pueblo peoples of New Mexico.
 E815758 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: Keres | Statement: [Keresan languages, hasAlternativeName, Keres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keres
Context triple: [Keresan languages, hasAlternativeName, Keres]
  • A. Keres
    Keres are female death-spirits from Greek mythology associated with violent death and the battlefield, often depicted as dark, bloodthirsty beings who seize the souls of the dying.
  • B. Kehre
    Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
  • C. Kishar
    Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
  • D. Keratea
    Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
  • E. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • 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: Keres
Triple: [Keresan languages, hasAlternativeName, Keres]
Generated description
Keres is a group of closely related Native American languages spoken by the Keresan Pueblo peoples of New Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keres
Target entity description: Keres is a group of closely related Native American languages spoken by the Keresan Pueblo peoples of New Mexico.
  • A. Keres
    Keres are female death-spirits from Greek mythology associated with violent death and the battlefield, often depicted as dark, bloodthirsty beings who seize the souls of the dying.
  • B. Kehre
    Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
  • C. Kishar
    Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
  • D. Keratea
    Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
  • E. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d0727908190897894151c0ee7c2 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911d33f081908637cbf4c1949bcd completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19533ef1c8190926ffb4eb92b8ef4 completed April 4, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69d195b69a4c8190941b92cc36bdc416 completed April 4, 2026, 10:50 p.m.
Created at: March 30, 2026, 8:17 p.m.