Triple

T16427598
Position Surface form Disambiguated ID Type / Status
Subject Obando E398983 entity
Predicate locatedNear P294 FINISHED
Object Bulakan E397297 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: Bulakan | Statement: [Obando, locatedNear, Bulakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulakan
Context triple: [Obando, locatedNear, Bulakan]
  • A. Bulakan chosen
    Bulakan is a historic coastal municipality in the province of Bulacan in the Philippines, known as one of the earliest Spanish colonial settlements in the region.
  • B. Ngawi
    Ngawi is a regency capital and regional town in East Java, Indonesia, known as a transportation hub and gateway between Central and East Java.
  • C. Banting
    Banting is a surname most famously associated with Frederick Banting, the Canadian physician and Nobel laureate who co-discovered insulin.
  • D. Banting
    Banting is a town in the Kuala Langat District of Selangor, Malaysia, known as a growing commercial and residential hub connected to major routes in the South Klang Valley region.
  • E. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458331748190a4bd1c5d2d466e6d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.