Triple

T15810136
Position Surface form Disambiguated ID Type / Status
Subject Musi Nadi E383323 entity
Predicate hasBridge P386 FINISHED
Object Musi IV Bridge E416034 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: Musi IV Bridge | Statement: [Musi Nadi, hasBridge, Musi IV Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musi IV Bridge
Context triple: [Musi Nadi, hasBridge, Musi IV Bridge]
  • A. Musi IV Bridge chosen
    Musi IV Bridge is a road bridge in Palembang, Indonesia, spanning the Musi River to improve urban connectivity and traffic flow in the city.
  • B. Musi II Bridge
    Musi II Bridge is a major road bridge in Palembang, Indonesia, that spans the Musi River and serves as an important transportation link in the city.
  • C. Musi VI Bridge
    Musi VI Bridge is a major road bridge in Hyderabad, India, that facilitates traffic across the Musi River and connects key parts of the city.
  • D. Timpuri Noi Bridge
    Timpuri Noi Bridge is a road bridge in Bucharest, Romania, that carries traffic across the Dâmbovița River near the Timpuri Noi area.
  • E. Kliafa Bridge
    Kliafa Bridge is a notable bridge spanning the Lithaios River, serving as an important local crossing and landmark in its surrounding area.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52aae14819091de08630e7e1d1a completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa939b4608190ac411b2f2f61e19e completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.