Triple
T20551163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TT Games |
E504599
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | TT Fusion |
E1151991
|
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: TT Fusion | Statement: [TT Games, hasSubsidiary, TT Fusion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TT Fusion Context triple: [TT Games, hasSubsidiary, TT Fusion]
-
A.
TT Fusion
chosen
TT Fusion is a British video game development studio known for creating licensed titles, particularly within the LEGO game franchise.
-
B.
FTW
FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
-
C.
FTW
FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
-
D.
TT
TT is a vehicle registration code used on license plates to identify vehicles registered in the Ravensburg district of Germany.
-
E.
TT
TT (Terrestrial Time) is a modern astronomical time standard used as the independent time variable in ephemerides and precise celestial mechanics, defined to provide a uniform time scale for observations from Earth's surface.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d8b55081909c3e3e972aff846d |
completed | April 20, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acd72fc88190af5bc208ff8f0e0d |
completed | May 16, 2026, 5:43 p.m. |
Created at: April 16, 2026, 11:38 a.m.