Triple

T10884518
Position Surface form Disambiguated ID Type / Status
Subject Mescalero language E257007 entity
Predicate hasGlottocode P3086 FINISHED
Object mesc1234
mesc1234 is the Glottocode identifier for the Mescalero language, an Apachean (Southern Athabaskan) language spoken by the Mescalero Apache people of the southwestern United States.
 E890534 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: mesc1234 | Statement: [Mescalero language, hasGlottocode, mesc1234]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: mesc1234
Context triple: [Mescalero language, hasGlottocode, mesc1234]
  • A. MESU
    MESU is the commonly used abbreviation for Ukraine’s Ministry of Education and Science, the government body responsible for national education and scientific policy.
  • B. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • C. MCS
    MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
  • D. MCS
    MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
  • E. MEC
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • 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: mesc1234
Triple: [Mescalero language, hasGlottocode, mesc1234]
Generated description
mesc1234 is the Glottocode identifier for the Mescalero language, an Apachean (Southern Athabaskan) language spoken by the Mescalero Apache people of the southwestern United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: mesc1234
Target entity description: mesc1234 is the Glottocode identifier for the Mescalero language, an Apachean (Southern Athabaskan) language spoken by the Mescalero Apache people of the southwestern United States.
  • A. MESU
    MESU is the commonly used abbreviation for Ukraine’s Ministry of Education and Science, the government body responsible for national education and scientific policy.
  • B. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • C. MCS
    MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
  • D. MCS
    MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
  • E. MEC
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dc3518819090e03d81ea5c8aa9 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e479cc81909fb8510364d6fc0e completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.