Triple
T20099085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon tramway network |
E496483
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | T7 |
—
|
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: T7 | Statement: [Lyon tramway network, hasLine, T7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T7 Context triple: [Lyon tramway network, hasLine, T7]
-
A.
T7
chosen
T7 is a tram line designation used in the Île-de-France public transport network around Paris.
-
B.
TB-7
TB-7, later known as the Petlyakov Pe-8, was a Soviet four-engined heavy bomber used during World War II for long-range strategic bombing missions.
-
C.
T8
T8 is a Sydney Trains suburban rail line serving the Airport, Inner South, and South Western suburbs of Sydney, Australia.
-
D.
Tensta
Tensta is a suburban district in northwestern Stockholm, Sweden, known for its large immigrant population and modernist housing estates built during the Million Programme era.
-
E.
T4
T4 is the large, modern main passenger terminal at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, known for its distinctive architecture and extensive international flight operations.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.