Triple
T10263829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Convention Center |
E240666
|
entity |
| Predicate | hasTotalMeetingSpace |
P15338
|
FINISHED |
| Object | over 2,600,000 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: over 2,600,000 square feet | Statement: [San Diego Convention Center, hasTotalMeetingSpace, over 2,600,000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTotalMeetingSpace Context triple: [San Diego Convention Center, hasTotalMeetingSpace, over 2,600,000 square feet]
-
A.
hasConferenceSpace
chosen
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
-
B.
hasPublicSpaceAlong
Indicates that a public space (such as a park, plaza, or walkway) is located adjacent to or runs alongside the referenced feature or element.
-
C.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
D.
isOpenSpace
Indicates that a given area or location is an unobstructed, accessible space rather than an enclosed or confined one.
-
E.
hasCentralSpace
Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:33 a.m.