Triple
T9294477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSK |
E223605
|
entity |
| Predicate | usesAbbreviation |
P43
|
FINISHED |
| Object | TSK |
E223605
|
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: TSK | Statement: [TSK, usesAbbreviation, TSK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSK Context triple: [TSK, usesAbbreviation, TSK]
-
A.
TSK
chosen
TSK is the abbreviation for the Turkish Armed Forces, the military organization responsible for the defense and security of Turkey.
-
B.
TSK
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 common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
-
E.
TS
TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089a2ed0819086b2e4219ff2453e |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b241251c81909aa4e8bcf5cd9c2e |
completed | April 4, 2026, 6:40 a.m. |
Created at: March 30, 2026, 7:35 p.m.