Triple

T16951509
Position Surface form Disambiguated ID Type / Status
Subject Nakbé E411189 entity
Predicate nearbySite P350 FINISHED
Object Tintal E1243319 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: Tintal | Statement: [Nakbé, nearbySite, Tintal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tintal
Context triple: [Nakbé, nearbySite, Tintal]
  • A. Tintal chosen
    Tintal is a major ancient Maya archaeological site in northern Guatemala, notable for its large-scale urban remains and its role within the Mirador Basin civilization.
  • B. Tamaroa
    The Tamaroa were a Native American tribe of the Illinois Confederation who traditionally lived along the Mississippi River in what is now Illinois.
  • C. Tishena
    Tishena is a dialect of the Meʼen language spoken by a subgroup of the Meʼen people in southwestern Ethiopia.
  • D. Tayasal
    Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
  • E. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0197f308190af7185fc9cc7a6e9 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc04f60081909b7b276a4010c321 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.