Triple
T3401607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forbes Field |
E71665
|
entity |
| Predicate | tenantEnd |
P20545
|
FINISHED |
| Object | Pittsburgh Pirates 1970 |
—
|
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: Pittsburgh Pirates 1970 | Statement: [Forbes Field, tenantEnd, Pittsburgh Pirates 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenantEnd Context triple: [Forbes Field, tenantEnd, Pittsburgh Pirates 1970]
-
A.
tenantsEnd
chosen
Indicates that a tenancy or lease relationship between parties comes to an end at a specified time or under certain conditions.
-
B.
alsoTenant
Indicates that two or more entities share the status of being tenants, typically occupying the same property or rental arrangement.
-
C.
anchorTenant
Indicates that an entity serves as a primary or major tenant whose presence helps attract other tenants or users to a shared space or platform.
-
D.
tenantType
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.