Triple
T9938508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Końskie |
E194017
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | TKN |
E561863
|
NE FINISHED |
How this triple was built (2 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: TKN | Statement: [Końskie, vehicleRegistrationCode, TKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TKN Context triple: [Końskie, vehicleRegistrationCode, TKN]
-
A.
TKN
chosen
TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
-
B.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
-
C.
KTN
KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
-
D.
TKM
TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
-
E.
Tk
Tk is a cross-platform graphical user interface (GUI) toolkit commonly used with the Tcl scripting language to build windowed applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e64760819094f599f158d32f33 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228f259b081909ce8a90ec1adad0d |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.