Triple
T19032984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATOL |
E465791
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ATOL |
—
|
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: ATOL | Statement: [ATOL, abbreviation, ATOL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATOL Context triple: [ATOL, abbreviation, ATOL]
-
A.
ATOL
chosen
ATOL is the UK’s Air Travel Organiser’s Licence scheme that financially protects holidaymakers if their travel company fails.
-
B.
TUI Airways
TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
-
C.
TAP Express
TAP Express is a regional airline brand operating feeder and short-haul services on behalf of TAP Air Portugal.
-
D.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
-
E.
airBaltic
airBaltic is the flag carrier airline of Latvia, operating a network of flights across Europe and beyond from its main hub in Riga.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.