Triple

T3539176
Position Surface form Disambiguated ID Type / Status
Subject Seri language E74839 entity
Predicate autonym P1435 FINISHED
Object cmiique iitom
cmiique iitom is the name that Seri people use in their own language to refer to the Seri language itself.
 E366757 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: cmiique iitom | Statement: [Seri language, autonym, cmiique iitom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: cmiique iitom
Context triple: [Seri language, autonym, cmiique iitom]
  • A. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • B. CTIIC
    CTIIC is a U.S. government center responsible for integrating, analyzing, and coordinating cyber threat intelligence across federal agencies.
  • C. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • D. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • E. ICA
    ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
  • 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: cmiique iitom
Triple: [Seri language, autonym, cmiique iitom]
Generated description
cmiique iitom is the name that Seri people use in their own language to refer to the Seri language itself.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: cmiique iitom
Target entity description: cmiique iitom is the name that Seri people use in their own language to refer to the Seri language itself.
  • A. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • B. CTIIC
    CTIIC is a U.S. government center responsible for integrating, analyzing, and coordinating cyber threat intelligence across federal agencies.
  • C. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • D. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • E. ICA
    ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcca5e008190abcfe40c8902a95f completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd7fa3881909fee11cc6f4af7ea completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c9259f881908068961f4eaf11a0 completed March 13, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69b38d04eb388190af64f990bac8d140 completed March 13, 2026, 4:05 a.m.
Created at: March 8, 2026, 3:20 p.m.