Triple
T20638641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. James railway station, Liverpool |
E507156
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | SJM |
—
|
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: SJM | Statement: [St. James railway station, Liverpool, stationCode, SJM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SJM Context triple: [St. James railway station, Liverpool, stationCode, SJM]
-
A.
SJM
chosen
SJM is the National Rail station code for St. James railway station in Liverpool, England.
-
B.
JMC
JMC is the civic governing body responsible for municipal administration and public services in the city of Jaipur, India.
-
C.
S.J.
S.J. is the standard post-nominal abbreviation used to designate members of the Catholic religious order known as the Society of Jesus, or the Jesuits.
-
D.
JMB
JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
-
E.
SJ
SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1163008190aa9df36750a952d2 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.