Triple
T22012058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newhaven Town railway station |
E543600
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
NVN
NVN is the National Rail station code for Newhaven Town railway station in East Sussex, England.
|
E1513529
|
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: NVN | Statement: [Newhaven Town railway station, stationCode, NVN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NVN Context triple: [Newhaven Town railway station, stationCode, NVN]
-
A.
VRN
VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
-
B.
VNK
VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
-
C.
VVNB
VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
-
D.
VNO
VNO is the IATA airport code for Vilnius Airport, the main international airport serving Lithuania’s capital city.
-
E.
VINAI
VINAI is an Italian electronic dance music duo known for their big-room house and festival-ready club tracks.
- 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: NVN Triple: [Newhaven Town railway station, stationCode, NVN]
Generated description
NVN is the National Rail station code for Newhaven Town railway station in East Sussex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NVN Target entity description: NVN is the National Rail station code for Newhaven Town railway station in East Sussex, England.
-
A.
VRN
VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
-
B.
VNK
VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
-
C.
VVNB
VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
-
D.
VNO
VNO is the IATA airport code for Vilnius Airport, the main international airport serving Lithuania’s capital city.
-
E.
VINAI
VINAI is an Italian electronic dance music duo known for their big-room house and festival-ready club tracks.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7378f3088190a38ae4ac5e44f41d |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a748c80b88190aaca0c0540c6f802 |
completed | May 18, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7539f3308190a1ff50ad7cf89545 |
completed | May 18, 2026, 2:11 a.m. |
Created at: April 16, 2026, 8:22 p.m.