Triple

T17128430
Position Surface form Disambiguated ID Type / Status
Subject Old Mumbai–Pune Highway E415658 entity
Predicate passesThrough P225 FINISHED
Object Dehu Road E1209564 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: Dehu Road | Statement: [Old Mumbai–Pune Highway, passesThrough, Dehu Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dehu Road
Context triple: [Old Mumbai–Pune Highway, passesThrough, Dehu Road]
  • A. Dehu Road chosen
    Dehu Road is a locality near Pune in Maharashtra, India, known for its proximity to major transport routes and military establishments.
  • B. Hailun Road
    Hailun Road is a Shanghai Metro interchange station located in Hongkou District, serving as a stop on multiple urban rail lines.
  • C. Lancun Road
    Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
  • D. Panlong Road
    Panlong Road is a metro station in Shanghai, China, serving passengers on the city's Line 17.
  • E. Nghi Tàm Road
    Nghi Tàm Road is a major thoroughfare in Hanoi, Vietnam, running along the West Lake area and serving as an important connector between the city center and the Tây Hồ District.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f0285a408190ae5e4c4679c07fbf completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414a51d4819086c2346fe2d4fce4 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.