Triple

T16001160
Position Surface form Disambiguated ID Type / Status
Subject Comcáac E388095 entity
Predicate alsoKnownAs P39 FINISHED
Object Seri E83371 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: Seri | Statement: [Comcáac, alsoKnownAs, Seri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seri
Context triple: [Comcáac, alsoKnownAs, Seri]
  • A. Seri chosen
    The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
  • B. SERI
    SERI is Switzerland’s federal authority responsible for national policies and coordination in education, research, and innovation.
  • C. Seria
    Seria is an oil-producing coastal town in Brunei known as one of the country’s main petroleum hubs and the site of key historical events.
  • D. Nseries
    Nseries is Nokia's line of high-end multimedia smartphones that emphasized advanced camera, music, and internet capabilities.
  • E. Seri Rama
    Seri Rama is the Malay literary adaptation of the Hindu epic hero Rama, depicted as a virtuous prince and central figure in the traditional narrative Hikayat Seri Rama.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fba9748190ac8fc27b167d49f7 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.