Triple
T25421121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway In Chicago |
E636986
|
entity |
| Predicate | ownsOrManagesVenue |
P57781
|
FINISHED |
| Object | Cadillac Palace Theatre |
—
|
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: Cadillac Palace Theatre | Statement: [Broadway In Chicago, ownsOrManagesVenue, Cadillac Palace Theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsOrManagesVenue Context triple: [Broadway In Chicago, ownsOrManagesVenue, Cadillac Palace Theatre]
-
A.
hasVenueOwner
Indicates that a particular venue is owned or controlled by a specific owner.
-
B.
hasPrincipalVenue
Indicates that an entity has a primary or main venue where its activities, events, or operations predominantly take place.
-
C.
venueManaged
chosen
Indicates that one entity is responsible for operating, organizing, or overseeing the management of a particular venue.
-
D.
hasManagedVenueName
Indicates that an entity has served in a managerial role at a venue identified by the given name.
-
E.
hostVenueInstanceOf
Indicates that a specific host venue is an instance or concrete realization of a more general venue type or category.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bc91dc8190b8ab8f3596c6ce0d |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:56 p.m.