Triple
T5283598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngurah Rai International Airport |
E119556
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object | Lion Air |
E296229
|
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: Lion Air | Statement: [Ngurah Rai International Airport, focusCityFor, Lion Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lion Air Context triple: [Ngurah Rai International Airport, focusCityFor, Lion Air]
-
A.
Lion Air
chosen
Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
-
B.
Sriwijaya Air
Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
-
C.
Garuda Indonesia
Garuda Indonesia is the national flag carrier airline of Indonesia, operating domestic and international flights across Asia, Australia, the Middle East, and Europe.
-
D.
Akasa Air
Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
-
E.
Malaysia Airlines
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.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c8d2bc8190840699e5a526b756 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf187d8a7c8190a8d686393d277bab |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:52 p.m.