Triple
T25144577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bury tram stop |
E629897
|
entity |
| Predicate | railwayLinePredecessor |
P38094
|
FINISHED |
| Object | East Lancashire Railway |
—
|
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: East Lancashire Railway | Statement: [Bury tram stop, railwayLinePredecessor, East Lancashire Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayLinePredecessor Context triple: [Bury tram stop, railwayLinePredecessor, East Lancashire Railway]
-
A.
railroadLinePredecessor
chosen
Indicates that one railroad line is the direct predecessor or earlier version in the historical or organizational sequence of another railroad line.
-
B.
precedingStationOnLine2
Indicates that one station is immediately before another station along the sequence of stops on transit line 2.
-
C.
formerRailwayLine
Indicates that a railway line previously existed in the past but is no longer in operation or has been decommissioned.
-
D.
precedingStationOnLine4
Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
-
E.
precedingStationOnLine10
Indicates that one station is immediately before another station along the route of line 10.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4684b30a8819088fb9f78020c3e1a |
completed | May 1, 2026, 8:46 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:29 a.m.