Triple
T30334887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Sox Foundation |
E771590
|
entity |
| Predicate | headquartersVenueAssociation |
P168855
|
FINISHED |
| Object | Fenway Park |
—
|
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: Fenway Park | Statement: [Red Sox Foundation, headquartersVenueAssociation, Fenway Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersVenueAssociation Context triple: [Red Sox Foundation, headquartersVenueAssociation, Fenway Park]
-
A.
headquartersAt
Indicates that an organization’s main administrative center or primary office is located at a specified place.
-
B.
headquartersSuccessorOrganizationLocation
Indicates that the location served as the headquarters for a successor organization that followed a previous entity.
-
C.
headquartersFor
Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
-
D.
associationHeadquarters
Indicates the location where an association’s main administrative offices or central headquarters are based.
-
E.
hasHeadquartersRoleFor
Indicates that an entity holds a specific role or position within the headquarters of another entity.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f681cba8108190b616382ffb430ff7 |
completed | May 2, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:54 p.m.