Triple

T21292484
Position Surface form Disambiguated ID Type / Status
Subject La Mesa Reservoir E524830 entity
Predicate waterSource P4102 FINISHED
Object Ipo Dam NE NERFINISHED

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: Ipo Dam | Statement: [La Mesa Reservoir, waterSource, Ipo Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ipo Dam
Context triple: [La Mesa Reservoir, waterSource, Ipo Dam]
  • A. Ipo Dam chosen
    Ipo Dam is a water reservoir and dam in Bulacan, Philippines, that forms a key part of the Angat–Ipo–La Mesa water system supplying Metro Manila.
  • B. Oraison Dam
    Oraison Dam is a hydroelectric dam in southeastern France that forms part of the Durance-Verdon power and water management system.
  • C. Mutirikwi Dam
    Mutirikwi Dam is a major concrete arch dam in southeastern Zimbabwe that creates Lake Mutirikwi and serves as an important source of irrigation water and hydroelectric power.
  • D. Guavio Dam
    Guavio Dam is a major hydroelectric dam in Colombia known for its large reservoir and significant contribution to the country’s power generation.
  • E. Upamayo Dam
    Upamayo Dam is a hydraulic structure in Peru that controls the outflow of Lake Junín for purposes such as water regulation and hydroelectric power generation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.