Triple
T2488148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penang |
E55976
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Penang Island |
E55976
|
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: Penang Island | Statement: [Penang, hasPart, Penang Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penang Island Context triple: [Penang, hasPart, Penang Island]
-
A.
Redang Island
Redang Island is a popular Malaysian tropical island in the South China Sea, renowned for its white-sand beaches, clear turquoise waters, and vibrant coral reefs that attract snorkelers and divers.
-
B.
Penang
chosen
Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
-
C.
Langkawi Archipelago
The Langkawi Archipelago is a popular Malaysian island group in the Andaman Sea, renowned for its beaches, rainforest-covered hills, and duty-free resort tourism.
-
D.
Tanjung Perak
Tanjung Perak is a major seaport in Surabaya, Indonesia, serving as one of the country’s principal maritime gateways for trade and passenger traffic.
-
E.
Labuan
Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd179c44881909cd6c7626cadaf10 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8429388190a2d1b1610511ea75 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:45 p.m.