Triple
T23494559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civic Stadium |
E571666
|
entity |
| Predicate | hasTenantsOverTime |
P152606
|
FINISHED |
| Object | multiple local football teams |
—
|
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: multiple local football teams | Statement: [Civic Stadium, hasTenantsOverTime, multiple local football teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTenantsOverTime Context triple: [Civic Stadium, hasTenantsOverTime, multiple local football teams]
-
A.
hasTenants
Indicates that an entity occupies or rents space from another entity as its tenant.
-
B.
hasTenantSince
Indicates that an entity has been the tenant of another entity starting from a specified point in time.
-
C.
numberOfTenants
Indicates the quantity of tenants associated with a given entity or property.
-
D.
numberOfAnchorTenants
Indicates the count of primary or major tenants associated with a given property or location.
-
E.
tenantsSupport
Indicates that one or more tenants provide backing, endorsement, or assistance to another entity or cause.
- F. None of above. chosen
Provenance (4 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7def8ac8190ade511299078d55b |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:05 p.m.