Triple
T38489213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HarbourFront |
E918006
|
entity |
| Predicate | partOfUrbanPlanningArea |
P55551
|
FINISHED |
| Object | Central Region of Singapore |
E887736
|
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: Central Region of Singapore | Statement: [HarbourFront, partOfUrbanPlanningArea, Central Region of Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfUrbanPlanningArea Context triple: [HarbourFront, partOfUrbanPlanningArea, Central Region of Singapore]
-
A.
partOfUrbanPlanBy
Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
-
B.
hasUrbanPlanningZone
Indicates that an area or property is designated as belonging to a specific urban planning zone within a planning or zoning scheme.
-
C.
partOfCityPlan
Indicates that something is included as a component or element within a broader city planning scheme or framework.
-
D.
partOfPlanningRegion
chosen
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
E.
partOfUrbanLayout
Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
- F. None of above.
Provenance (4 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01d339feac8190a3de56b24db67163 |
completed | May 11, 2026, 1:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ccca5bc48190bdbb52b9f2aaa8ec |
completed | June 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_6a01d2bc1f408190a04869f95e6941ee |
completed | May 11, 2026, 12:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.