Triple

T17203996
Position Surface form Disambiguated ID Type / Status
Subject Catemaco E417551 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Lake Catemaco E419136 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: Lake Catemaco | Statement: [Catemaco, hasBodyOfWater, Lake Catemaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Catemaco
Context triple: [Catemaco, hasBodyOfWater, Lake Catemaco]
  • A. Catemaco Lake chosen
    Catemaco Lake is a scenic freshwater lake in the Los Tuxtlas region of Veracruz, Mexico, known for its lush rainforest surroundings, biodiversity, and cultural traditions including eco-tourism and folk healing.
  • B. Lake Macanxoc
    Lake Macanxoc is a small natural lake adjacent to the ancient Maya archaeological site of Cobá in Mexico’s Yucatán Peninsula.
  • C. Lake Balboa
    Lake Balboa is a neighborhood in the central San Fernando Valley region of Los Angeles, known for its large recreation area, lake, and suburban residential character.
  • D. Fúquene Lake
    Fúquene Lake is a high-altitude Andean lake in central Colombia known for its ecological importance and surrounding agricultural landscapes.
  • E. Mar Chiquita Lake
    Mar Chiquita Lake is a large, shallow, saline endorheic lake in central Argentina known for its fluctuating water levels and importance as a habitat for migratory birds.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db1e01c81909db0491fd9f49bed completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e9d4308190a7c97da472d5e4b7 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.