Triple

T14011578
Position Surface form Disambiguated ID Type / Status
Subject Benguet E337091 entity
Predicate contains P35 FINISHED
Object Ambuklao Dam E458920 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: Ambuklao Dam | Statement: [Benguet, contains, Ambuklao Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambuklao Dam
Context triple: [Benguet, contains, Ambuklao Dam]
  • A. Ambuklao Dam chosen
    Ambuklao Dam is a major hydroelectric and flood-control dam in Benguet, Philippines, known as one of the country’s earliest large-scale hydropower projects.
  • B. Malpaso Dam
    Malpaso Dam is a major hydroelectric dam in Chiapas, Mexico, forming one of the country’s largest reservoirs and playing a key role in national power generation and flood control.
  • C. Saguling Dam
    Saguling Dam is a major hydroelectric and multipurpose dam in West Java, Indonesia, forming one of the key reservoirs on the Citarum River.
  • D. Macagua Dam
    Macagua Dam is a major hydroelectric dam complex in Venezuela that forms part of the Guri–Macagua–Caruachi system generating power from the Caroní River.
  • E. Nangbeto Dam
    Nangbeto Dam is a hydroelectric and irrigation dam on the Mono River in West Africa, jointly developed by Togo and Benin to generate power and support regional water management.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacaa16e88190995fd86951fb54e6 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.