Triple
T19112000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | linear temporal logic |
E467810
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | LTLf |
—
|
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: LTLf | Statement: [linear temporal logic, hasVariant, LTLf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTLf Context triple: [linear temporal logic, hasVariant, LTLf]
-
A.
LTL
chosen
LTL (Linear Temporal Logic) is a formalism used in computer science and logic to specify and reason about the temporal ordering of events along linear time, particularly in the verification of reactive and concurrent systems.
-
B.
LTL
LTL is the former official currency code for the Lithuanian litas, which was replaced by the euro in 2015.
-
C.
LTL
LTL is the National Rail station code for Littleborough railway station in Greater Manchester, England.
-
D.
LFLX
LFLX is the ICAO airport code for Châteauroux-Centre "Marcel Dassault" Airport in central France, a facility known for cargo operations, aircraft maintenance, and pilot training.
-
E.
TLT
TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e394969c81909d09b2300ea0e041 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.