Triple

T11889357
Position Surface form Disambiguated ID Type / Status
Subject Proto-Algic language E282873 entity
Predicate hasAlternativeName P39 FINISHED
Object Common Algic E254256 NE FINISHED

How this triple was built (2 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: Common Algic | Statement: [Proto-Algic language, hasAlternativeName, Common Algic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Common Algic
Context triple: [Proto-Algic language, hasAlternativeName, Common Algic]
  • A. Algic chosen
    Algic is a Native North American language family that includes the Algonquian languages and a few related groups such as Wiyot and Yurok.
  • B. Algea
    Algea are personified spirits of pain and suffering in Greek mythology, associated with the goddess Eris and the darker aspects of human experience.
  • C. ALG
    ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • D. Alling
    Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
  • E. Ennepetal
    Ennepetal is a town in North Rhine-Westphalia, Germany, known for its industrial heritage and scenic location in the Ennepe-Ruhr district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417e919548190acbc248879f957ec completed May 1, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:44 p.m.