Triple
T19746113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TrawsCymru |
E474254
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object | T12 |
—
|
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: T12 | Statement: [TrawsCymru, hasService, T12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T12 Context triple: [TrawsCymru, hasService, T12]
-
A.
T12
chosen
T12 is a tram-train line in the Île-de-France region that connects suburban areas using both tramway and railway infrastructure.
-
B.
T13
T13 is a public transit line that operates through or serves the Stadion area.
-
C.
T11
T11 is the FAA location identifier assigned to Yap International Airport in the Federated States of Micronesia.
-
D.
T11
T11 is a tram-train line of the Île-de-France public transport network serving the northern suburbs of Paris.
-
E.
T10
T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529387ac819094e4d66d630e8b98 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.