Triple

T11613431
Position Surface form Disambiguated ID Type / Status
Subject South Luzon Expressway E275440 entity
Predicate hasJunctionWith P1018 FINISHED
Object Daang Hari Road E751997 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: Daang Hari Road | Statement: [South Luzon Expressway, hasJunctionWith, Daang Hari Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daang Hari Road
Context triple: [South Luzon Expressway, hasJunctionWith, Daang Hari Road]
  • A. Daang Hari Road chosen
    Daang Hari Road is a major arterial road in the southern part of Metro Manila and nearby Cavite province in the Philippines, serving as an important link between rapidly developing residential and commercial areas.
  • B. Panlong Road
    Panlong Road is a metro station in Shanghai, China, serving passengers on the city's Line 17.
  • C. Mahabandoola Road
    Mahabandoola Road is a major thoroughfare in central Yangon, Myanmar, running past key colonial-era landmarks and civic buildings.
  • D. Fujin Road
    Fujin Road is a metro station in Shanghai, China, serving as the northern terminus of Line 1 of the Shanghai Metro system.
  • E. Daini Keihan Road
    Daini Keihan Road is a major expressway in Japan that enhances road connectivity and traffic flow between the Osaka and Kyoto metropolitan 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84161d88190a3e810d19d6ea8b8 completed April 22, 2026, 10:51 a.m.
Created at: April 8, 2026, 9:38 p.m.