Triple
T13608898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheers bar |
E325134
|
entity |
| Predicate | realWorldExteriorLocation |
P17242
|
FINISHED |
| Object | 84 Beacon Street, Boston, Massachusetts |
—
|
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: 84 Beacon Street, Boston, Massachusetts | Statement: [Cheers bar, realWorldExteriorLocation, 84 Beacon Street, Boston, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realWorldExteriorLocation Context triple: [Cheers bar, realWorldExteriorLocation, 84 Beacon Street, Boston, Massachusetts]
-
A.
hasOutdoorLocation
Indicates that an entity is associated with or possesses a specific outdoor place or setting.
-
B.
outdoorVenue
Indicates that an event, activity, or gathering takes place at a location situated outdoors rather than inside a building or enclosed structure.
-
C.
isLocatedOnOutskirtsOf
Indicates that one entity is situated on the outer edge or peripheral area of another entity, rather than in its central or inner part.
-
D.
isPartOfStreetscape
Indicates that something forms a component or element within the overall layout or visual composition of a streetscape.
-
E.
streetLocation
chosen
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.