Triple

T17061566
Position Surface form Disambiguated ID Type / Status
Subject Pantabangan Lake E413971 entity
Predicate partOf P40 FINISHED
Object Pampanga River basin E99106 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: Pampanga River basin | Statement: [Pantabangan Lake, partOf, Pampanga River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pampanga River basin
Context triple: [Pantabangan Lake, partOf, Pampanga River basin]
  • A. Pampanga River chosen
    The Pampanga River is a major river system in the Philippines that drains much of central Luzon, supporting extensive agriculture and communities along its floodplain.
  • B. Agno River basin
    The Agno River basin is a major watershed in Luzon, Philippines, encompassing extensive agricultural, urban, and coastal areas that drain into the Lingayen Gulf.
  • C. Bicol River
    The Bicol River is a major river system in the Bicol Region of the Philippines, known for its extensive floodplain and importance to local agriculture and settlements.
  • D. Imus River
    Imus River is a river in the province of Cavite in the Philippines that flows through several municipalities before emptying into Manila Bay.
  • E. Marikina River
    Marikina River is a major waterway in Metro Manila, Philippines, known for flowing through the city of Marikina and frequently causing floods in surrounding urban areas.
  • 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.