Triple

T11799985
Position Surface form Disambiguated ID Type / Status
Subject Tenosique E280598 entity
Predicate hasNearbyArchaeologicalSite P14422 FINISHED
Object Pomona E629251 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: Pomona | Statement: [Tenosique, hasNearbyArchaeologicalSite, Pomona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomona
Context triple: [Tenosique, hasNearbyArchaeologicalSite, Pomona]
  • A. Pomona
    Pomona is a city in eastern Los Angeles County, California, known for hosting the LA County Fair and for its historic downtown and arts district.
  • B. Pomona
    Pomona is a rural town in Queensland, Australia, known for its heritage architecture and proximity to the Noosa hinterland.
  • C. Pomona chosen
    Pomona is an ancient Maya archaeological site in the western lowlands of present-day Mexico, known for its sculpted monuments and inscriptions.
  • D. Pamona
    Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
  • E. Pomone
    Pomone is an opera by French composer Pierre Perrin, recognized as one of the earliest French operas and a foundational work in the development of the genre in France.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131110aa081909aa0b0d532e473a5 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.