Triple

T15074252
Position Surface form Disambiguated ID Type / Status
Subject Lidingöbanan line 21 E379957 entity
Predicate terminus P388 FINISHED
Object Ropsten E479276 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: Ropsten | Statement: [Lidingöbanan line 21, terminus, Ropsten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ropsten
Context triple: [Lidingöbanan line 21, terminus, Ropsten]
  • A. Ropsten chosen
    Ropsten is an area and transport hub in northeastern Stockholm, Sweden, known as a gateway to the island of Lidingö.
  • B. Stratis
    Stratis is the given name of Tériade, a notable Greek-born art critic and publisher known for collaborating with major 20th-century artists.
  • C. BESU
    BESU is a renowned engineering and science university in West Bengal, India, known for its strong technical education and research legacy.
  • D. Sepolia depot
    Sepolia depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
  • E. Terra Classic
    Terra Classic is the original version of the Terra blockchain network, best known for its algorithmic stablecoin ecosystem and the subsequent collapse that led to the creation of a new Terra chain.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.