Triple
T9012977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klang Valley |
E215519
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Rawang |
E213107
|
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: Rawang | Statement: [Klang Valley, containsCity, Rawang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawang Context triple: [Klang Valley, containsCity, Rawang]
-
A.
Rawang
chosen
Rawang is a rapidly developing town in the Malaysian state of Selangor, known for its mix of residential, industrial, and commercial areas.
-
B.
Jasinga
Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
-
C.
Lumut
Lumut is a coastal town in the Malaysian state of Perak, known as a gateway to Pangkor Island and as a naval and port town.
-
D.
Lumut
Lumut is a small island located within Indonesia’s Bangka Belitung Islands province, known for its coastal tropical setting.
-
E.
Kluang
Kluang is a town and district capital located in the central part of Johor, Malaysia, known for its coffee culture and surrounding agricultural 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69f96980819093bfc49d48570c65 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba11a6481909cac624530a77ffe |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.