Triple

T11267918
Position Surface form Disambiguated ID Type / Status
Subject 1 Line E266735 entity
Predicate formerName P65 FINISHED
Object Central Link E266736 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: Central Link | Statement: [1 Line, formerName, Central Link]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Link
Context triple: [1 Line, formerName, Central Link]
  • A. Central Link chosen
    Central Link was the original name for Seattle’s first light rail line, now part of the city’s Link light rail system.
  • B. The Link
    The Link is a key University College Birmingham facility that provides modern teaching, learning, and student support spaces.
  • C. Triangle Link
    Triangle Link is a major fixed-link bridge and tunnel system in western Norway that connects the islands of Bømlo and Stord to the mainland.
  • D. Sun Link
    Sun Link is a modern streetcar system serving downtown Tucson, Arizona, and nearby districts as part of the city’s public transit network.
  • E. NovaLink
    NovaLink is an IBM Power Systems virtualization management interface that streamlines the deployment and control of virtual machines and resources on Power hardware.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccd52c20819093e03bba2fd359b7 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.