Triple
T16405572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysian airport network |
E398415
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Lahad Datu Airport |
E995033
|
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: Lahad Datu Airport | Statement: [Malaysian airport network, hasComponent, Lahad Datu Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahad Datu Airport Context triple: [Malaysian airport network, hasComponent, Lahad Datu Airport]
-
A.
Lahad Datu Airport
chosen
Lahad Datu Airport is a small domestic airport in Sabah, Malaysia, serving the town of Lahad Datu and nearby regions on the island of Borneo.
-
B.
Tawau Airport
Tawau Airport is a public airport in Sabah, Malaysia, serving the town of Tawau and acting as a key gateway to the southeastern region of Borneo.
-
C.
Redang Airport
Redang Airport is a small regional airport serving Redang Island in Terengganu, Malaysia, primarily handling domestic tourist flights to the island’s beach resorts.
-
D.
Keningau Airport
Keningau Airport is a small regional airfield serving the town of Keningau in the interior of Sabah, Malaysia.
-
E.
Sandakan Airport
Sandakan Airport is a domestic airport in Sabah, Malaysia, serving the city of Sandakan and acting as a key gateway to the wildlife and nature attractions of the region.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c794355881908fdec356d12a5635 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:09 a.m.