Triple
T20863262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mörfelden-Walldorf |
E513679
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
GG
GG is the vehicle registration code for the district of Groß-Gerau in the German state of Hesse.
|
E1454319
|
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: GG | Statement: [Mörfelden-Walldorf, vehicleRegistrationCode, GG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GG Context triple: [Mörfelden-Walldorf, vehicleRegistrationCode, GG]
-
A.
GG
GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
-
B.
GG
GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
-
C.
GU
GU is a Japanese casual fashion retail brand known for its affordable, trend-focused clothing and as a sister brand to Uniqlo under the Fast Retailing group.
-
D.
GU
GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
-
E.
GU
GU is the station code used to identify Guadalupe station within the railway network.
- 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: GG Triple: [Mörfelden-Walldorf, vehicleRegistrationCode, GG]
Generated description
GG is the vehicle registration code for the district of Groß-Gerau in the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GG Target entity description: GG is the vehicle registration code for the district of Groß-Gerau in the German state of Hesse.
-
A.
GG
GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
-
B.
GG
GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
-
C.
GU
GU is a Japanese casual fashion retail brand known for its affordable, trend-focused clothing and as a sister brand to Uniqlo under the Fast Retailing group.
-
D.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
E.
GU
GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b112eac8190b523c64bbb6586d1 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090c40b6748190a24e30f9588ecfe7 |
completed | May 17, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090d1a8b288190bf1b5bc074f7d9cf |
completed | May 17, 2026, 12:34 a.m. |
Created at: April 16, 2026, 12:44 p.m.