Triple
T2811244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Tobacco Campus |
E54174
|
entity |
| Predicate | hasOfficeTenants |
P3277
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [American Tobacco Campus, hasOfficeTenants, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficeTenants Context triple: [American Tobacco Campus, hasOfficeTenants, true]
-
A.
hasTenants
chosen
Indicates that an entity occupies or rents space from another entity as its tenant.
-
B.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
-
C.
numberOfOffices
Indicates the total count of offices associated with a given entity.
-
D.
hasOfficeCluster
Indicates that an entity is associated with or belongs to a specific group or cluster of office locations.
-
E.
divisionOfPrimaryTenant
Indicates that one entity is a division or sub-unit that belongs to or operates under the primary tenant 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde354a5881908cd3d545f7dda81c |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.