Triple
T749383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polo Grounds |
E15412
|
entity |
| Predicate | alsoTenantTo |
P18752
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Polo Grounds, alsoTenantTo, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoTenantTo Context triple: [Polo Grounds, alsoTenantTo, 1963]
-
A.
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.
-
B.
leagueOfTenant
Indicates that a tenant is a member of, or participates in, a particular league or organized competition.
-
C.
tenantType
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
D.
leaseRecipient
Indicates the party that receives or holds rights to use a property or asset under a lease agreement from another party.
-
E.
alsoHosted
Indicates that the subject entity, in addition to others, served as a host for the same event or activity.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6304e0c8190827fb57c5cac2da9 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a5004f708190a984ee221716e19c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.