Triple
T11071732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RPLL |
E261760
|
entity |
| Predicate | servesAsHubFor |
P423
|
FINISHED |
| Object | Philippine Airlines |
E43266
|
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: Philippine Airlines | Statement: [RPLL, servesAsHubFor, Philippine Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippine Airlines Context triple: [RPLL, servesAsHubFor, Philippine Airlines]
-
A.
Philippine Airlines
chosen
Philippine Airlines is the flag carrier of the Philippines, operating a wide network of domestic and international flights across Asia, North America, Oceania, and beyond.
-
B.
Cebu Pacific
Cebu Pacific is a major low-cost airline based in the Philippines, known for operating extensive domestic and regional routes across Asia.
-
C.
Royal Air Philippines
Royal Air Philippines is a Philippine low-cost airline operating domestic and regional flights, primarily based in Manila.
-
D.
Dragonair
Dragonair was a Hong Kong-based regional airline, later rebranded as Cathay Dragon, that primarily operated flights within Asia.
-
E.
PAL Airlines
PAL Airlines is a Canadian regional airline that operates passenger and cargo flights primarily throughout Newfoundland and Labrador and other parts of eastern Canada.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994bbb30819090410bd3d0fde33c |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462d34c0081908067d91c163c118c |
completed | April 19, 2026, 5:06 a.m. |
Created at: April 8, 2026, 9:26 p.m.