Triple
T5734461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazimierza Wielka |
E126465
|
entity |
| Predicate | carPlatesCode |
P1173
|
FINISHED |
| Object |
TKA
TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
|
E545090
|
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: TKA | Statement: [Kazimierza Wielka, carPlatesCode, TKA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TKA Context triple: [Kazimierza Wielka, carPlatesCode, TKA]
-
A.
THA
THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
-
B.
TKR
TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
-
C.
TAK
TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
-
D.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
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: TKA Triple: [Kazimierza Wielka, carPlatesCode, TKA]
Generated description
TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TKA Target entity description: TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
-
A.
THA
THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
-
B.
TKR
TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
-
C.
TAK
TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
-
D.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02536706c8190a69665b75c8a38e9 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e05a7e08190a79fb43aefdbea6b |
completed | March 22, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_69c088cdb5c08190878addf57bd29fd5 |
completed | March 23, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0899063ec8190bb24d9f0d317ffa6 |
completed | March 23, 2026, 12:30 a.m. |
Created at: March 22, 2026, 3:47 p.m.