Triple
T18803797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Telecommunications Act |
E459821
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TKG
TKG is the abbreviation for the German Telecommunications Act, the primary legal framework regulating telecommunications services and infrastructure in Germany.
|
E1342924
|
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: TKG | Statement: [German Telecommunications Act, shortName, TKG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TKG Context triple: [German Telecommunications Act, shortName, TKG]
-
A.
TKN
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
-
B.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
C.
DKG
DKG is the National Rail station code for Dorking railway station in Surrey, England.
-
D.
CKG
CKG is the IATA airport code for Chongqing Jiangbei International Airport, a major aviation hub serving the city of Chongqing in southwest China.
-
E.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
- 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: TKG Triple: [German Telecommunications Act, shortName, TKG]
Generated description
TKG is the abbreviation for the German Telecommunications Act, the primary legal framework regulating telecommunications services and infrastructure in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TKG Target entity description: TKG is the abbreviation for the German Telecommunications Act, the primary legal framework regulating telecommunications services and infrastructure in Germany.
-
A.
TKN
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
-
B.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
C.
DKG
DKG is the National Rail station code for Dorking railway station in Surrey, England.
-
D.
CKG
CKG is the IATA airport code for Chongqing Jiangbei International Airport, a major aviation hub serving the city of Chongqing in southwest China.
-
E.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a025faf48190be07086071df5b34 |
completed | April 20, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a054725edbc819099ad8200394653ec |
completed | May 14, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a054828f894819093b66caebaf0399d |
completed | May 14, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0548f1ed74819090775763f4976a1a |
completed | May 14, 2026, 4 a.m. |
Created at: April 10, 2026, 11:53 a.m.