Triple

T15015152
Position Surface form Disambiguated ID Type / Status
Subject Line 910 E377938 entity
Predicate rebrandedAs P65 FINISHED
Object Line J E687850 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: Line J | Statement: [Line 910, rebrandedAs, Line J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line J
Context triple: [Line 910, rebrandedAs, Line J]
  • A. Line J chosen
    Line J is a cable-propelled transit line of the Medellín Metro system that connects hillside neighborhoods in the city’s western area to the main rail network.
  • B. line J
    Line J is a suburban rail line in the Transilien network serving the western suburbs of Paris, particularly along the Paris–Saint-Lazare corridor.
  • C. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • D. Line K
    Line K is a Medellín Metrocable gondola line that connects hillside neighborhoods to the city’s metro system as part of its integrated public transit network.
  • E. Line E
    Line E is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service across parts of Strasbourg and its surrounding 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96aa3c888190a65e7b3c3b130131 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.