Triple
T31746224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umballa railway station |
E810276
|
entity |
| Predicate | presentDaySuccessorStation |
P46397
|
FINISHED |
| Object | Ambala Cantonment railway station |
—
|
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: Ambala Cantonment railway station | Statement: [Umballa railway station, presentDaySuccessorStation, Ambala Cantonment railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDaySuccessorStation Context triple: [Umballa railway station, presentDaySuccessorStation, Ambala Cantonment railway station]
-
A.
successorStation
chosen
Indicates that one station directly follows another in a sequence, such as along a transit line or route.
-
B.
precedingStation
Indicates that one station is located immediately before another station in a route or sequence.
-
C.
hasSuccessorStationName
Indicates that one station is immediately followed by another station, whose name is given as the successor station name.
-
D.
successorLocation
Indicates that one location directly follows or comes after another in a defined spatial or ordered sequence.
-
E.
precedingStationTowards
Indicates that one station is immediately before another station along a specified direction or route toward a given destination.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 30, 2026, 11:26 p.m.