Triple

T13691698
Position Surface form Disambiguated ID Type / Status
Subject Altar de Sacrificios E328280 entity
Predicate nearbySite P350 FINISHED
Object Seibal E328281 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: Seibal | Statement: [Altar de Sacrificios, nearbySite, Seibal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seibal
Context triple: [Altar de Sacrificios, nearbySite, Seibal]
  • A. Seibal chosen
    Seibal is an ancient Maya archaeological site in Guatemala known for its well-preserved stelae and strategic location along the Usumacinta River.
  • B. Allakaket
    Allakaket is a small, predominantly Alaska Native village in the interior of Alaska, located above the Arctic Circle and accessible mainly by air and river.
  • C. Tahara
    Tahara is a feminine given name, often considered a variant of Tara, used in various cultures.
  • D. Tahara
    Tahara is a coastal city in central Japan known for its automotive manufacturing industry and scenic Cape Irago on the Atsumi Peninsula.
  • E. Calah
    Calah is an ancient Assyrian city, better known today as Nimrud, which served as a major political and cultural center of the Neo-Assyrian Empire in northern Mesopotamia.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.