Triple
T7430662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princes Park |
E171479
|
entity |
| Predicate | primaryTenantHistory |
P45212
|
FINISHED |
| Object | hosted Carlton home games in the VFL |
—
|
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: hosted Carlton home games in the VFL | Statement: [Princes Park, primaryTenantHistory, hosted Carlton home games in the VFL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTenantHistory Context triple: [Princes Park, primaryTenantHistory, hosted Carlton home games in the VFL]
-
A.
primaryTenantTo
Indicates that one entity serves as the main or principal tenant in relation to another entity, such as a property or lease.
-
B.
primaryTenantFrom
Indicates that one entity serves as the main or principal tenant associated with another entity (such as a property or lease).
-
C.
mainTenant
Indicates that the subject is the primary tenant responsible for a property or rental agreement, as opposed to a subtenant or secondary occupant.
-
D.
hasFormerPrimaryTenant
chosen
Indicates that an entity previously served as the main or principal tenant of another entity, but no longer holds that status.
-
E.
ownershipHistory
Indicates the sequence of past and present owners associated with an entity over time.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f32324c481908c9ba594e8456728 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.