Triple
T15077385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bückeburg |
E380040
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
SHG
SHG is the vehicle registration code for the district of Schaumburg in Lower Saxony, Germany.
|
E1136052
|
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: SHG | Statement: [Bückeburg, hasVehicleRegistrationCode, SHG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHG Context triple: [Bückeburg, hasVehicleRegistrationCode, SHG]
-
A.
SHB
SHB is the standard abbreviation used for the Sherbrooke Canadiens, a former professional ice hockey team based in Sherbrooke, Quebec.
-
B.
SGH
SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
C.
SHC
SHC is the station code for Saharsa Junction, a key railway station in the Indian state of Bihar.
-
D.
SHD
SHD is the French Defence Historical Service, the national institution responsible for preserving and providing access to France’s military archives and historical records.
-
E.
HSH
HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
- 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: SHG Triple: [Bückeburg, hasVehicleRegistrationCode, SHG]
Generated description
SHG is the vehicle registration code for the district of Schaumburg in Lower Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHG Target entity description: SHG is the vehicle registration code for the district of Schaumburg in Lower Saxony, Germany.
-
A.
SHB
SHB is the standard abbreviation used for the Sherbrooke Canadiens, a former professional ice hockey team based in Sherbrooke, Quebec.
-
B.
SGH
SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
C.
SHC
SHC is the station code for Saharsa Junction, a key railway station in the Indian state of Bihar.
-
D.
SHD
SHD is the French Defence Historical Service, the national institution responsible for preserving and providing access to France’s military archives and historical records.
-
E.
HSH
HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5d2765481908f101bef483ed02f |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea6a27c608190b1bd64c6ed90d268 |
completed | May 9, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaa8e608881909e9a7f4295e13d31 |
completed | May 9, 2026, 3:31 a.m. |
Created at: April 10, 2026, 3:03 a.m.