Triple
T9241478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAL Express |
E222068
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Air Philippines |
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: Air Philippines | Statement: [PAL Express, formerName, Air Philippines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Air Philippines Context triple: [PAL Express, formerName, Air Philippines]
-
A.
Royal Air Philippines
Royal Air Philippines is a Philippine low-cost airline operating domestic and regional flights, primarily based in Manila.
-
B.
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.
-
C.
Philippines AirAsia
Philippines AirAsia is a low-cost airline based in the Philippines and a subsidiary of the AirAsia Group, operating domestic and international flights across Asia.
-
D.
Cebu Pacific
Cebu Pacific is a major low-cost airline based in the Philippines, known for operating extensive domestic and regional routes across 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03ea9d90819096f9ca5321dffd56 |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077e1ea448190a64a0371a412d314 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:30 p.m.