Triple
T12153159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johor Bahru District |
E289507
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Skudai |
E216259
|
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: Skudai | Statement: [Johor Bahru District, contains, Skudai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skudai Context triple: [Johor Bahru District, contains, Skudai]
-
A.
Skudai
chosen
Skudai is a rapidly developing suburban town in the Malaysian state of Johor, known for housing Universiti Teknologi Malaysia and serving as part of the greater Johor Bahru metropolitan area.
-
B.
Guncati
Guncati is a village located within the municipality of Barajevo in the city of Belgrade, Serbia.
-
C.
Zułów
Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
-
D.
Flotta
Flotta is a small island in the Orkney archipelago of Scotland, known for its oil terminal and role in North Sea petroleum operations.
-
E.
Aluku Djuka
Aluku Djuka is a Maroon Creole language spoken by the Aluku people, primarily in French Guiana and Suriname.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915bf615c8190ad5f8ae8665678dc |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69aa2e88190aaa58468571d6dad |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.