Triple
T26577369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galen Center |
E666981
|
entity |
| Predicate | volleyballCapacity |
P160660
|
FINISHED |
| Object | 10000 |
—
|
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: 10000 | Statement: [Galen Center, volleyballCapacity, 10000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volleyballCapacity Context triple: [Galen Center, volleyballCapacity, 10000]
-
A.
playerCapacity
Indicates the maximum number of players that can simultaneously participate in or be accommodated by something (such as a game, session, or venue).
-
B.
capacityForBasketball
Indicates the ability or suitability of an entity to play or perform well in basketball.
-
C.
capacityGymnastics
Indicates that an entity has the ability or suitability to perform or engage in gymnastics.
-
D.
centerCourtCapacity
Indicates the maximum number of people that can be accommodated in the main (center) court of a venue.
-
E.
venueCapacityApproximate
Indicates an approximate or estimated capacity of a venue in terms of how many people it can accommodate.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614de2af881908a879d8862b1a5eb |
completed | May 2, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 2:01 a.m.