Triple
T12076225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T2 |
E287554
|
entity |
| Predicate | openedAsTramway |
P103077
|
FINISHED |
| Object | 1997 |
—
|
LITERAL 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: 1997 | Statement: [Tramway T2, openedAsTramway, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsTramway Context triple: [Tramway T2, openedAsTramway, 1997]
-
A.
openedAsTransitStation
Indicates that an entity began operation specifically as a transit station at the time it was opened.
-
B.
openedAsSubway
Indicates that a transportation facility or line originally began operation specifically as a subway service.
-
C.
openedAsTransportationCenter
Indicates that something was inaugurated or began operation specifically in the role of a transportation center.
-
D.
openedAsRailStop
Indicates that an entity began operation or was first established specifically as a railway stop.
-
E.
hasTramway
Indicates that a location or area is served by, contains, or is connected to a tramway system.
- F. None of above. chosen
Provenance (4 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.