Triple
T13286498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl's Court Exhibition Centre site |
E316457
|
entity |
| Predicate | formerCapacityUse |
P109324
|
FINISHED |
| Object | large-scale exhibitions |
—
|
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: large-scale exhibitions | Statement: [Earl's Court Exhibition Centre site, formerCapacityUse, large-scale exhibitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCapacityUse Context triple: [Earl's Court Exhibition Centre site, formerCapacityUse, large-scale exhibitions]
-
A.
formerCapacity
Indicates that an entity previously held a particular role, position, or function but no longer does so.
-
B.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
-
C.
currentCapacity
Indicates the present amount of capacity an entity is using or able to provide at a given time.
-
D.
capacityRecord
Indicates a recorded measure of how much of a resource, space, or system is available or can be utilized at a given time.
-
E.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:27 p.m.