Triple
T37409227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyberjaya City Centre MRT station |
E929216
|
entity |
| Predicate | isInPlannedCity |
P25696
|
FINISHED |
| Object | Cyberjaya |
—
|
NE NERFINISHED |
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: Cyberjaya | Statement: [Cyberjaya City Centre MRT station, isInPlannedCity, Cyberjaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInPlannedCity Context triple: [Cyberjaya City Centre MRT station, isInPlannedCity, Cyberjaya]
-
A.
isPlannedCity
Indicates that a city has been deliberately designed and constructed according to a pre-established urban plan rather than developing organically over time.
-
B.
locatedInPlannedCity
chosen
Indicates that something is situated within the boundaries of a city that was deliberately designed and planned rather than having developed organically.
-
C.
hasPlannedCity
Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
-
D.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
-
E.
isPlannedTown
Indicates that a town has been deliberately designed and constructed according to a pre-established plan rather than developing organically over time.
- F. None of above.
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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.