Triple
T9772477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond station |
E237159
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | RMD |
E623181
|
NE 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: RMD | Statement: [Richmond station, hasStationCode, RMD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMD Context triple: [Richmond station, hasStationCode, RMD]
-
A.
RMD
chosen
RMD is the National Rail station code for Richmond railway station in London, a major transport hub served by both mainline and London Underground services.
-
B.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
C.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
D.
RM
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
-
E.
RMA
RMA is a U.S. Department of Agriculture agency responsible for overseeing federal crop insurance and risk management programs for farmers and ranchers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f5261481908d9bac8c43da5294 |
completed | April 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd12261c819085e502e8321c3200 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.