Triple

T9577345
Position Surface form Disambiguated ID Type / Status
Subject Kemak language E231077 entity
Predicate hasAlternativeName P39 FINISHED
Object Ema
Ema is an Austronesian language spoken primarily in East Timor, also known as the Kemak language.
E809218 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: Ema | Statement: [Kemak language, hasAlternativeName, Ema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ema
Context triple: [Kemak language, hasAlternativeName, Ema]
  • A. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • B. Emae
    Emae is an Oceanic language spoken on Emae Island in Vanuatu, closely related to other Central Vanuatu languages.
  • C. Erna
    Erna is the given name of Erna Schneider Hoover, an American mathematician and pioneering computer scientist known for revolutionizing telephone switching systems.
  • D. Maritta
    Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
  • E. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • 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: Ema
Triple: [Kemak language, hasAlternativeName, Ema]
Generated description
Ema is an Austronesian language spoken primarily in East Timor, also known as the Kemak language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ema
Target entity description: Ema is an Austronesian language spoken primarily in East Timor, also known as the Kemak language.
  • A. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • B. Emae
    Emae is an Oceanic language spoken on Emae Island in Vanuatu, closely related to other Central Vanuatu languages.
  • C. Erna
    Erna is the given name of Erna Schneider Hoover, an American mathematician and pioneering computer scientist known for revolutionizing telephone switching systems.
  • D. Maritta
    Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
  • E. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16155b3288190ac135c3a1e58cc7e completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d161e6a1308190932c8386e1c24f2e completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d165a8c80081909e4d0837cbaabf95 completed April 4, 2026, 7:25 p.m.
Created at: March 30, 2026, 8:05 p.m.