Triple
T11263798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rico Convention Center |
E266629
|
entity |
| Predicate | meetingRoomArea |
P51175
|
FINISHED |
| Object | 40000 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: 40000 square feet | Statement: [Puerto Rico Convention Center, meetingRoomArea, 40000 square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetingRoomArea Context triple: [Puerto Rico Convention Center, meetingRoomArea, 40000 square feet]
-
A.
roomCapacity
Indicates the maximum number of people or occupants that a room is designed or allowed to hold.
-
B.
standardArea
chosen
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
-
C.
hasConferenceSpace
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
-
D.
chamberSize
Indicates the relative capacity or dimensions of a chamber in relation to a specified reference or standard.
-
E.
areaBControl
Indicates that one entity has control or authority over a specific region or area labeled as B.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.