Triple
T36802927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town Square zone |
E909368
|
entity |
| Predicate | isZoneOf |
P6793
|
FINISHED |
| Object | Asiatique The Riverfront retail and entertainment complex |
—
|
LITERAL 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: Asiatique The Riverfront retail and entertainment complex | Statement: [Town Square zone, isZoneOf, Asiatique The Riverfront retail and entertainment complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isZoneOf Context triple: [Town Square zone, isZoneOf, Asiatique The Riverfront retail and entertainment complex]
-
A.
hasZone
chosen
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
B.
isPrimarilyZonedFor
Indicates that a particular area or property is designated mainly for a specific type of land use under zoning regulations.
-
C.
isCoreZone
Indicates that something belongs to, or is located within, the central or most important zone of a defined area or system.
-
D.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
-
E.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.