Triple
T10313345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labuan Airport |
E241951
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Labuan |
E47879
|
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: Labuan | Statement: [Labuan Airport, serves, Labuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labuan Context triple: [Labuan Airport, serves, Labuan]
-
A.
Labuan
chosen
Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
-
B.
Labuan
Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
-
C.
Tawau
Tawau is a coastal town and major economic hub in southeastern Sabah, Malaysia, known for its port, agriculture, and proximity to Indonesia.
-
D.
Kota Belud
Kota Belud is a town and district in Sabah, Malaysia, known for its vibrant Bajau culture, weekly tamu (market), and scenic coastal and rural landscapes.
-
E.
Batam Island
Batam Island is a major Indonesian industrial and tourism hub in the Riau Islands, strategically located near Singapore and known for its free-trade zone and busy ports.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35a292c8190bc8c467e522bba92 |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9336139088190bd9ea3e2333c59cb |
completed | April 10, 2026, 5:29 p.m. |
Created at: April 6, 2026, 11:48 a.m.