Triple
T6353912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gili Islands |
E142942
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Gili Air |
E491239
|
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: Gili Air | Statement: [Gili Islands, hasIsland, Gili Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gili Air Context triple: [Gili Islands, hasIsland, Gili Air]
-
A.
Gili Air
chosen
Gili Air is a small Indonesian island near Lombok known for its laid-back atmosphere, coral reefs, and popular snorkeling and diving spots.
-
B.
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.
-
C.
Sriwijaya Air
Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
-
D.
Mandala Airlines
Mandala Airlines was an Indonesian airline that operated domestic and regional flights before ceasing operations in the early 2010s.
-
E.
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.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60459a7c081909b551dcf1735bf75 |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.