Triple
T26435247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSG Entertainment |
E664927
|
entity |
| Predicate | hasFlagshipVenue |
P65326
|
FINISHED |
| Object | Madison Square Garden |
—
|
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: Madison Square Garden | Statement: [MSG Entertainment, hasFlagshipVenue, Madison Square Garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagshipVenue Context triple: [MSG Entertainment, hasFlagshipVenue, Madison Square Garden]
-
A.
flagshipVenue
Indicates that a venue serves as the primary or most important location associated with an organization, brand, or event series.
-
B.
hasFlagshipIn
Indicates that an entity designates a particular location or branch as its primary or flagship presence.
-
C.
hasPrincipalVenue
chosen
Indicates that an entity has a primary or main venue where its activities, events, or operations predominantly take place.
-
D.
isRegularVenueFor
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
-
E.
hasVenueIn
Indicates that an event, activity, or occurrence takes place at a specific venue located within a particular geographic area or location.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 26, 2026, 11:53 p.m.