Triple
T18459532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remagen station |
E450994
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
KRM
KRM is the station code for Remagen railway station in Germany.
|
E1325361
|
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: KRM | Statement: [Remagen station, stationCode, KRM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KRM Context triple: [Remagen station, stationCode, KRM]
-
A.
KRA
KRA is Kenya’s national tax collection and revenue administration agency responsible for assessing, collecting, and accounting for government revenue.
-
B.
KRA
KRA is the vehicle registration code assigned to cars registered in the Kraków region of Poland, including the town of Słomniki.
-
C.
KMRB
KMRB is the ICAO code for Eastern West Virginia Regional Airport, a public airport serving the Martinsburg, West Virginia area.
-
D.
KPRM
KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
-
E.
NKM
NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
- 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: KRM Triple: [Remagen station, stationCode, KRM]
Generated description
KRM is the station code for Remagen railway station in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KRM Target entity description: KRM is the station code for Remagen railway station in Germany.
-
A.
KRA
KRA is Kenya’s national tax collection and revenue administration agency responsible for assessing, collecting, and accounting for government revenue.
-
B.
KRA
KRA is the vehicle registration code assigned to cars registered in the Kraków region of Poland, including the town of Słomniki.
-
C.
KMRB
KMRB is the ICAO code for Eastern West Virginia Regional Airport, a public airport serving the Martinsburg, West Virginia area.
-
D.
KPRM
KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
-
E.
NKM
NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7cdb5c8190a399f0e4052f7d1f |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040febab8c819086707e68f2259fe9 |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a0410f9ed708190bd13037037487287 |
completed | May 13, 2026, 5:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0417b159b481908f963cf8b251d898 |
completed | May 13, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:33 a.m.