Triple
T20135897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red line (Stockholm metro) |
E491023
|
entity |
| Predicate | hasBranch |
P35
|
FINISHED |
| Object | Ropsten branch |
—
|
NE NERFINISHED |
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 branch | Statement: [Red line (Stockholm metro), hasBranch, Ropsten branch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ropsten branch Context triple: [Red line (Stockholm metro), hasBranch, Ropsten branch]
-
A.
Ropsten
chosen
Ropsten is an area and transport hub in northeastern Stockholm, Sweden, known as a gateway to the island of Lidingö.
-
B.
Rinkeby
Rinkeby is a suburban district in northwestern Stockholm, Sweden, known for its large immigrant population and distinctive multicultural character.
-
C.
Stratis
Stratis is the given name of Tériade, a notable Greek-born art critic and publisher known for collaborating with major 20th-century artists.
-
D.
Gnosis Chain
Gnosis Chain is an Ethereum-compatible, community-governed blockchain focused on low-cost, secure transactions and decentralized applications.
-
E.
BESU
BESU is a renowned engineering and science university in West Bengal, India, known for its strong technical education and research legacy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66766e46c81908721fd47066dc9f8 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.