Triple
T9885945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacoma Mall |
E180931
|
entity |
| Predicate | hasNumberOfFloorsInAnchorStores |
P53359
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Tacoma Mall, hasNumberOfFloorsInAnchorStores, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfFloorsInAnchorStores Context triple: [Tacoma Mall, hasNumberOfFloorsInAnchorStores, 2]
-
A.
numberOfFloorsInAnchorStores
chosen
Indicates the relationship specifying how many floors are contained within each anchor store.
-
B.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
-
C.
hasAisles
Indicates that a location or structure contains one or more aisles as part of its internal layout or organization.
-
D.
hasAnchorStores
Indicates that a retail property or shopping center includes one or more major anchor stores as primary tenants.
-
E.
hasFloorsAboveGround
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45659748190a3ebd1abe23c8779 |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:38 p.m.