Triple
T29541157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Peninsular Malaysia |
E749502
|
entity |
| Predicate | hasUrbanRegion |
P11388
|
FINISHED |
| Object | Klang Valley |
—
|
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: Klang Valley | Statement: [central Peninsular Malaysia, hasUrbanRegion, Klang Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanRegion Context triple: [central Peninsular Malaysia, hasUrbanRegion, Klang Valley]
-
A.
containsUrbanArea
chosen
Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
-
B.
hasUrbanSectionsIn
Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
-
C.
hasUrbanDistrictCount
Indicates the number of urban districts associated with a given entity.
-
D.
hasUrbanPopulationIn
Indicates that an entity has a specified urban population within a particular geographic area or administrative unit.
-
E.
isUrbanAreaOfType
Indicates that a given area is classified as belonging to a specific type or category of urban area (e.g., city, town, suburb).
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cca77d881909200c29ba2ac6766 |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:02 p.m.