Triple
T4785215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIS |
E106458
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | TAP Express |
E265117
|
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: TAP Express | Statement: [LIS, isHubFor, TAP Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAP Express Context triple: [LIS, isHubFor, TAP Express]
-
A.
TAP Express
chosen
TAP Express is a regional airline brand operating feeder and short-haul services on behalf of TAP Air Portugal.
-
B.
SunExpress
SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
-
C.
The Ryan Express
The Ryan Express is the famous nickname of Hall of Fame Major League Baseball pitcher Nolan Ryan, renowned for his overpowering fastball and record-setting strikeout totals.
-
D.
Virgin Express
Virgin Express was a Belgian low-cost airline that operated primarily from Brussels in the 1990s and early 2000s before being merged into Brussels Airlines.
-
E.
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.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65b0ea408190b348d917883381de |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43dbdec88190817845e7930a18f6 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.