Triple

T11145227
Position Surface form Disambiguated ID Type / Status
Subject Ayala Bridge E263651 entity
Predicate spans P266 FINISHED
Object Pasig River E46063 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: Pasig River | Statement: [Ayala Bridge, spans, Pasig River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasig River
Context triple: [Ayala Bridge, spans, Pasig River]
  • A. Pasig River chosen
    The Pasig River is a historically significant waterway in the Philippines that flows through Metro Manila, linking Laguna de Bay to Manila Bay and serving as a central feature of the capital’s urban landscape.
  • B. 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.
  • C. Pampanga River
    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.
  • 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. Magat River
    Magat River is a major river in the northern Philippines known for the Magat Dam, one of the country’s largest hydroelectric and irrigation projects.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509cd971c8190bdaa7b3c8a1f32f2 completed April 19, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:28 p.m.