Triple
T6863003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond railway station |
E158327
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
RMD
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.
|
E623181
|
NE FINISHED |
How this triple was built (4 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 railway station, hasStationCode, RMD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMD Context triple: [Richmond railway station, hasStationCode, RMD]
-
A.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
B.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
C.
RMA
RMA is a U.S. Department of Agriculture agency responsible for overseeing federal crop insurance and risk management programs for farmers and ranchers.
-
D.
RMA
RMA is New Zealand’s principal environmental and resource management law that governs how natural and physical resources are used, developed, and protected.
-
E.
RMT
RMT is the commonly used abbreviation for the United Nations Conference on Trade and Development’s annual Review of Maritime Transport report, which analyzes global maritime trade and shipping trends.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RMD Triple: [Richmond railway station, hasStationCode, RMD]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RMD Target entity description: 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.
-
A.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
B.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
C.
RMA
RMA is a U.S. Department of Agriculture agency responsible for overseeing federal crop insurance and risk management programs for farmers and ranchers.
-
D.
RMA
RMA is New Zealand’s principal environmental and resource management law that governs how natural and physical resources are used, developed, and protected.
-
E.
RMT
RMT is the commonly used abbreviation for the United Nations Conference on Trade and Development’s annual Review of Maritime Transport report, which analyzes global maritime trade and shipping trends.
- F. None of above. chosen
Provenance (5 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8897cf48190a2f688d21f1f6c1a |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72ff153d48190a4b0d4e403457fe8 |
completed | March 28, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c730e882308190a3fbc61245941338 |
completed | March 28, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7316a9cc081908c088725cb7626e8 |
completed | March 28, 2026, 1:39 a.m. |
Created at: March 27, 2026, 2:21 p.m.