Triple
T16728024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBGG |
E406512
|
entity |
| Predicate | isFocusCityFor |
P1295
|
FINISHED |
| Object | Malaysia Airlines |
E13188
|
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: Malaysia Airlines | Statement: [WBGG, isFocusCityFor, Malaysia Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaysia Airlines Context triple: [WBGG, isFocusCityFor, Malaysia Airlines]
-
A.
Malaysia Airlines
chosen
Malaysia Airlines is the flag carrier of Malaysia, operating international and domestic flights across Asia, Europe, and other regions from its main hub in Kuala Lumpur.
-
B.
Malindo Air
Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
-
C.
Malaysia Aviation Group
Malaysia Aviation Group is a Malaysian state-owned aviation holding company that oversees Malaysia Airlines and several related aviation and travel businesses.
-
D.
Lion Air
Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
-
E.
SilkAir
SilkAir was a regional airline based in Singapore and a former full-service subsidiary of Singapore Airlines, operating short- and medium-haul routes across Asia-Pacific.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38749baa48190892b2e2b978f6eb6 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaf1853c819084d636afe8f3cb2e |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:20 a.m.