Triple
T22243261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Suchedniów |
E549774
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | TSK |
—
|
NE NERFINISHED |
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: TSK | Statement: [Gmina Suchedniów, hasVehicleRegistrationCode, TSK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSK Context triple: [Gmina Suchedniów, hasVehicleRegistrationCode, TSK]
-
A.
TSK
TSK is the abbreviation for the Turkish Armed Forces, the military organization responsible for the defense and security of Turkey.
-
B.
TSK
chosen
TSK is the vehicle registration code assigned to the city of Skarżysko-Kamienna in Poland.
-
C.
TKSC
TKSC is the primary JAXA facility in Tsukuba, Japan, responsible for mission control, astronaut training, and development and testing of space technologies.
-
D.
TS
TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
-
E.
TS
TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1321655b0819091f1ddf06c67f3c2 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.