Triple
T12041806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachov |
E286678
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
TC
TC is the vehicle registration code used on license plates for the Tachov district in the Czech Republic.
|
E961869
|
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: TC | Statement: [Tachov, vehicleRegistrationCode, TC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TC Context triple: [Tachov, vehicleRegistrationCode, TC]
-
A.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
-
B.
TC
TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
-
C.
TC
TC is the Constitutional Court of Peru, the country’s highest body responsible for interpreting and safeguarding the constitution and constitutional rights.
-
D.
TC
TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
-
E.
TC
TC is the commonly used abbreviation for the Constitutional Court of Spain, the country’s highest body in matters of constitutional interpretation.
- 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: TC Triple: [Tachov, vehicleRegistrationCode, TC]
Generated description
TC is the vehicle registration code used on license plates for the Tachov district in the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TC Target entity description: TC is the vehicle registration code used on license plates for the Tachov district in the Czech Republic.
-
A.
TC
TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
-
B.
TC
TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
-
C.
TC
TC is the commonly used abbreviation for Portugal’s Constitutional Court, the supreme body responsible for reviewing the constitutionality of laws and ensuring compliance with the Portuguese Constitution.
-
D.
TC
TC is the standard abbreviation used to refer to an IEC technical committee responsible for developing international electrotechnical standards in a specific technical area.
-
E.
TC
TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.