Triple

T13088008
Position Surface form Disambiguated ID Type / Status
Subject Bataan E310386 entity
Predicate hasMunicipality P847 FINISHED
Object Limay E355693 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: Limay | Statement: [Bataan, hasMunicipality, Limay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limay
Context triple: [Bataan, hasMunicipality, Limay]
  • A. Limay chosen
    Limay is a coastal municipality in the province of Bataan in the Philippines, known for its industrial facilities and role in the country’s energy and petrochemical sectors.
  • B. Limay River
    The Limay River is a major Patagonian watercourse in southern Argentina, known for flowing from the Andes through scenic lakes and valleys and serving as a key source of hydroelectric power.
  • C. Ucha River
    The Ucha River is a waterway in the Moscow region of Russia that flows through towns such as Pushkino and serves as a local natural and recreational resource.
  • D. Esla River
    The Esla River is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Douro River.
  • E. Bellós River
    The Bellós River is a mountain river in the Spanish Pyrenees, known for carving deep gorges and canyons within and around Ordesa y Monte Perdido National Park.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:02 p.m.