Triple
T27597240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Bente Lee Center |
E699934
|
entity |
| Predicate | primaryTenantNickname |
P155805
|
FINISHED |
| Object | Saints |
—
|
NE NERFINISHED |
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: Saints | Statement: [Rose Bente Lee Center, primaryTenantNickname, Saints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTenantNickname Context triple: [Rose Bente Lee Center, primaryTenantNickname, Saints]
-
A.
primaryTenantFrom
Indicates that one entity serves as the main or principal tenant associated with another entity (such as a property or lease).
-
B.
primaryTenantTo
Indicates that one entity serves as the main or principal tenant in relation to another entity, such as a property or lease.
-
C.
nicknameOfTenant
chosen
Indicates that one entity is the nickname used to refer to a particular tenant.
-
D.
primaryTenantRole
Indicates that an entity holds the main or leading tenant role in a tenancy relationship.
-
E.
previousPrimaryTenant
Indicates that the subject entity was formerly the main or principal tenant of the object entity (such as a property or lease) before the current primary tenant.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
Created at: April 27, 2026, 2:07 p.m.