Triple

T17090339
Position Surface form Disambiguated ID Type / Status
Subject Lake Petén Itzá E414706 entity
Predicate nearbyArchaeologicalSite P14422 FINISHED
Object Nakum E1247993 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: Nakum | Statement: [Lake Petén Itzá, nearbyArchaeologicalSite, Nakum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakum
Context triple: [Lake Petén Itzá, nearbyArchaeologicalSite, Nakum]
  • A. Nakum chosen
    Nakum is an ancient Maya archaeological site in northeastern Guatemala, noted for its well-preserved temples and plazas within the Yaxhá-Nakum-Naranjo National Park.
  • B. Naklua
    Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Kumait
    Kumait is a town located within Iraq’s Maysan Governorate in the southeastern part of the country.
  • E. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbf948d88190a4dd4a0774a8505b completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee9fd108190b12e8624bb66caf2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.