Triple
T11207974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapas Island |
E265221
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Marang |
E912424
|
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: Marang | Statement: [Kapas Island, nearestTown, Marang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marang Context triple: [Kapas Island, nearestTown, Marang]
-
A.
Marang District
chosen
Marang District is a coastal administrative district in Terengganu, Malaysia, known for its fishing villages, beaches, and nearby resort islands.
-
B.
Temerloh
Temerloh is a town in central Pahang, Malaysia, known as a regional commercial hub and gateway to the state's interior.
-
C.
Kuala Kangsar
Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
-
D.
Kuala Terengganu
Kuala Terengganu is a coastal city in northeastern Peninsular Malaysia known for its Islamic heritage architecture, traditional Malay culture, and proximity to popular island destinations.
-
E.
Ratekau
Ratekau is a municipality in the district of Ostholstein in Schleswig-Holstein, northern Germany, near the Baltic Sea coast.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d5f8908190903817f84c629ba1 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc2ec5348190b66a3cc5779aa327 |
completed | April 19, 2026, 12:35 p.m. |
Created at: April 8, 2026, 9:30 p.m.