Triple

T10291017
Position Surface form Disambiguated ID Type / Status
Subject Lake Cobá E241363 entity
Predicate locatedNear P294 FINISHED
Object Cobá village E49046 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: Cobá village | Statement: [Lake Cobá, locatedNear, Cobá village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobá village
Context triple: [Lake Cobá, locatedNear, Cobá village]
  • A. Kykotsmovi Village
    Kykotsmovi Village is the principal community and administrative center of the Hopi people in northeastern Arizona.
  • B. Cobá chosen
    Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
  • C. Pangkal Balam
    Pangkal Balam is a port town on Bangka Island in Indonesia that serves as an important hub for regional maritime transport and trade.
  • D. Batopilas town
    Batopilas town is a remote historic mining settlement in Chihuahua, Mexico, known for its colonial architecture and scenic location deep within the Copper Canyon.
  • E. Xilitla
    Xilitla is a picturesque town in the Huasteca region of San Luis Potosí, Mexico, known for its lush mountainous landscape and its association with surrealist art and architecture.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d281348190bac00cf826689cd7 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f85dcbac8190a2ac66354010e328 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:41 a.m.