Triple

T11071125
Position Surface form Disambiguated ID Type / Status
Subject Marikina River E261747 entity
Predicate mouthLocation P417 FINISHED
Object Pasig E97441 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 | Statement: [Marikina River, mouthLocation, Pasig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasig
Context triple: [Marikina River, mouthLocation, Pasig]
  • A. Pasig chosen
    Pasig is a highly urbanized city in Metro Manila in the Philippines, known historically as a riverside settlement and now as a major commercial and residential center.
  • B. Marikina
    Marikina is a highly urbanized city in the Philippines known as the "Shoe Capital of the Philippines" for its long-standing shoe-making industry and is part of the Metro Manila region.
  • C. Mandaluyong
    Mandaluyong is a highly urbanized city in the Philippines known as part of Metro Manila’s central business and commercial district.
  • D. Lungsod ng Pasig
    Lungsod ng Pasig is a highly urbanized city in Metro Manila, Philippines, known as a major commercial and residential center that includes the Ortigas Center business district.
  • E. Pasig River
    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.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79922e48c81909adb161e66f47474 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e76a49fc8190945f4770bf808b43 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.