Triple

T10275189
Position Surface form Disambiguated ID Type / Status
Subject Puuc region E240946 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Xlapak E678805 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: Xlapak | Statement: [Puuc region, hasArchaeologicalSite, Xlapak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xlapak
Context triple: [Puuc region, hasArchaeologicalSite, Xlapak]
  • A. Xlapak chosen
    Xlapak is a small pre-Columbian Maya archaeological site in Mexico’s Yucatán Peninsula, notable for its well-preserved Puuc-style architecture.
  • B. Cilapulapu
    Cilapulapu is an alternative name for Lapu-Lapu, the Filipino chieftain famed for resisting Spanish colonization and killing Ferdinand Magellan in the Battle of Mactan.
  • C. Lapinig
    Lapinig is a coastal municipality in the province of Northern Samar in the Philippines.
  • D. Lupao
    Lupao is a landlocked agricultural municipality in the province of Nueva Ecija in the Central Luzon region of the Philippines.
  • E. Lapaha
    Lapaha is a historic village in Tonga that served as the former capital and royal seat on the island of Tongatapu.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28b6cd4819084a7a5c1893b5ad8 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f81b39008190af48de31de03682e completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:37 a.m.