Triple
T37652792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Landmark (former tenant) |
E937216
|
entity |
| Predicate | formerTenantOf |
P7727
|
FINISHED |
| Object | Gateway 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: Gateway Mall | Statement: [The Landmark (former tenant), formerTenantOf, Gateway Mall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerTenantOf Context triple: [The Landmark (former tenant), formerTenantOf, Gateway Mall]
-
A.
formerOccupant
chosen
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
B.
tenantFormerName
Indicates that the specified name was previously used by the tenant before their current official name.
-
C.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
D.
previousAnchorTenant
Indicates that an entity served as the anchor (primary or major) tenant of a property or location at an earlier time, prior to the current anchor tenant.
-
E.
tenantBecame
Indicates that an entity transitioned into the role or status of a tenant at a particular time or under specific conditions.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: May 3, 2026, 4:18 p.m.