Triple
T686821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eccles Line |
E13301
|
entity |
| Predicate | openedForPassengers |
P1712
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Eccles Line, openedForPassengers, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForPassengers Context triple: [Eccles Line, openedForPassengers, 1999]
-
A.
closedForPassengers
Indicates that a transportation facility or vehicle is not available for use by passengers.
-
B.
openedForUse
Indicates that something has been made accessible and available for its intended operation or use.
-
C.
hasPassengerTerminal
Indicates that one entity possesses or is equipped with a passenger terminal used for boarding, alighting, or handling passengers.
-
D.
openedForThroughService
Indicates that an entity has been made accessible or available specifically for use via a through-service connection or route, rather than as a standalone endpoint.
-
E.
openedAsRailStop
chosen
Indicates that an entity began operation or was first established specifically as a railway stop.
- F. None of above.
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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.