Triple
T21356408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dartmouth, Nova Scotia |
E526637
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object | Mic Mac Mall |
—
|
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: Mic Mac Mall | Statement: [Dartmouth, Nova Scotia, hasShoppingCentre, Mic Mac Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mic Mac Mall Context triple: [Dartmouth, Nova Scotia, hasShoppingCentre, Mic Mac Mall]
-
A.
Mic Mac Mall
chosen
Mic Mac Mall is a major regional shopping centre located in Dartmouth, Nova Scotia, featuring a wide range of retail stores and services.
-
B.
Red Mall
Red Mall is one of the main shopping sections within the Metrocentre complex, featuring a variety of retail stores and amenities.
-
C.
Killarney Mall
Killarney Mall is a long-established shopping center in the Killarney suburb of Johannesburg, offering a mix of retail stores, restaurants, and services to local residents and visitors.
-
D.
Yellow Mall
Yellow Mall is one of the main shopping sections within the Metrocentre retail complex, housing a variety of stores and amenities.
-
E.
Blue Mall
Blue Mall is a shopping area within the Metrocentre complex in Gateshead, England, featuring a range of retail stores and services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa0fca481908f1fd02154bcba9f |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.