Triple
T11498156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyberjaya |
E272596
|
entity |
| Predicate | stateConstituency |
P19338
|
FINISHED |
| Object | Dengkil |
E761395
|
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: Dengkil | Statement: [Cyberjaya, stateConstituency, Dengkil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dengkil Context triple: [Cyberjaya, stateConstituency, Dengkil]
-
A.
Dengkil
chosen
Dengkil is a town in the Sepang District of Selangor, Malaysia, known for its proximity to Putrajaya and Kuala Lumpur International Airport.
-
B.
Dungun
Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
-
C.
Jasinga
Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
-
D.
Bachok
Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
-
E.
Rantau
Rantau is a town in South Kalimantan, Indonesia, known as an administrative and economic center in the region.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60497be2c8190a82362280e51698a |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.