Triple

T17048460
Position Surface form Disambiguated ID Type / Status
Subject Sayaxché E413630 entity
Predicate nearbyArchaeologicalSite P14422 FINISHED
Object Ceibal E411190 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: Ceibal | Statement: [Sayaxché, nearbyArchaeologicalSite, Ceibal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ceibal
Context triple: [Sayaxché, nearbyArchaeologicalSite, Ceibal]
  • A. Ceibal chosen
    Ceibal is an ancient Maya archaeological site in Guatemala renowned for its well-preserved ceremonial architecture and sculpted monuments.
  • B. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • C. Cateel
    Cateel is a coastal municipality in the province of Davao Oriental in the Philippines, known for its natural attractions such as Aliwagwag Falls.
  • D. Rechiar
    Rechiar was a 5th-century king of the Suebi in Gallaecia, notable for being one of the first Germanic rulers to convert to Catholic Christianity and for his active role in the politics of the collapsing Western Roman Empire.
  • E. Cumeeira
    Cumeeira is a civil parish located in the municipality of Penela in central Portugal.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa092f08190a9e37404a9de662c completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233fb8d88190a9a6ef6a2f19a499 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:34 a.m.