Triple

T17061315
Position Surface form Disambiguated ID Type / Status
Subject Pantabangan E413965 entity
Predicate knownFor P22 FINISHED
Object Pantabangan Dam E418015 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: Pantabangan Dam | Statement: [Pantabangan, knownFor, Pantabangan Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantabangan Dam
Context triple: [Pantabangan, knownFor, Pantabangan Dam]
  • A. Pantabangan Dam chosen
    Pantabangan Dam is a major multi-purpose dam in the Philippines known for irrigation, flood control, and hydroelectric power generation in Central Luzon.
  • B. 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.
  • 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. Pracana Dam
    Pracana Dam is a hydroelectric and water management dam located on the Ocreza River in central Portugal, contributing to the regulation and use of resources in the Tagus River basin.
  • E. Bayano Dam
    Bayano Dam is a major hydroelectric dam in Panama that impounds the Bayano River to form Bayano Lake and supply power to the country.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7dea7481909e3e0bc836d27336 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed7f6fc81908d27a6581fcfa265 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.