Triple
T7135816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarka Line |
E166302
|
entity |
| Predicate | marketingName |
P11546
|
FINISHED |
| Object | Tarka Line |
E166302
|
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: Tarka Line | Statement: [Tarka Line, marketingName, Tarka Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarka Line Context triple: [Tarka Line, marketingName, Tarka Line]
-
A.
Tarka Line
chosen
The Tarka Line is a scenic rural railway route in Devon, England, running between Exeter and Barnstaple through the countryside associated with Henry Williamson’s novel "Tarka the Otter."
-
B.
Ljabru Line
The Ljabru Line is a tram line in Oslo, Norway, forming part of the city’s light rail network and serving the southeastern district of Ljabru.
-
C.
Hyoksin Line
The Hyoksin Line is one of the main lines of the Pyongyang Metro system in North Korea, serving several central and residential districts of the capital.
-
D.
Butovskaya Line
The Butovskaya Line is a light metro line in the Moscow Metro system serving the Butovo district in the city’s south.
-
E.
Batong Line
The Batong Line is a rapid transit line in Beijing that extends the Beijing Subway network eastward into the suburban Tongzhou District.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8e0a06c819091b47dd41acb47b7 |
completed | March 28, 2026, 11:17 a.m. |
Created at: March 27, 2026, 2:45 p.m.