Triple
T10289573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eschwege |
E241325
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ESW
ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
|
E852248
|
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: ESW | Statement: [Eschwege, vehicleRegistrationCode, ESW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESW Context triple: [Eschwege, vehicleRegistrationCode, ESW]
-
A.
WES
WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
-
B.
WES
WES is the vehicle registration code used on license plates for vehicles registered in the Wesel district of Germany.
-
C.
WES
WES is the three-letter station code used to identify Westminster Underground Station on the London Underground network.
-
D.
WES
WES is the historic Chapman code used in genealogical records to represent the former English county of Westmorland.
-
E.
WES
WES is the standard abbreviation for the Westchester Knicks, the NBA G League affiliate of the New York Knicks.
- 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: ESW Triple: [Eschwege, vehicleRegistrationCode, ESW]
Generated description
ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESW Target entity description: ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
-
A.
WES
WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
-
B.
WES
WES is the vehicle registration code used on license plates for vehicles registered in the Wesel district of Germany.
-
C.
WES
WES is the three-letter station code used to identify Westminster Underground Station on the London Underground network.
-
D.
WES
WES is the standard abbreviation for the Westchester Knicks, the NBA G League affiliate of the New York Knicks.
-
E.
WES
WES is the historic Chapman code used in genealogical records to represent the former English county of Westmorland.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d192288190a64c27a4f26b71fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8556f4081908390bc5c14dcf560 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcaee26c8190a19f7d07a63531f6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd879ab88190b0a47295f5d7ad4d |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:41 a.m.