Triple
T1956226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Convention and Exhibition Center |
E42274
|
entity |
| Predicate | totalExhibitSpace |
P9481
|
FINISHED |
| Object | 516000 square feet |
—
|
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: 516000 square feet | Statement: [Boston Convention and Exhibition Center, totalExhibitSpace, 516000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalExhibitSpace Context triple: [Boston Convention and Exhibition Center, totalExhibitSpace, 516000 square feet]
-
A.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
B.
exhibitionSpaceType
Indicates the specific kind or category of space used to display or present exhibitions.
-
C.
hasExhibitionArea
chosen
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
D.
exhibitStatus
Indicates the current state or condition of an exhibit within a display, collection, or presentation context.
-
E.
gallerySpace
Indicates that one entity serves as a gallery or exhibition space for displaying 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37b4a38819099f98be92be91ade |
completed | March 7, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.