Triple
T13528013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pro-vice-chancellors |
E323060
|
entity |
| Predicate | areCommonIn |
P7254
|
FINISHED |
| Object | United Kingdom universities |
—
|
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: United Kingdom universities | Statement: [pro-vice-chancellors, areCommonIn, United Kingdom universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areCommonIn Context triple: [pro-vice-chancellors, areCommonIn, United Kingdom universities]
-
A.
commonIn
chosen
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
B.
commonFor
Indicates that something is typical, usual, or frequently occurring for a given entity or context.
-
C.
commonOn
Indicates that two or more entities share the same location, context, or medium where they are present or occur together.
-
D.
hasNearbyCommon
Indicates that two entities share at least one common element, feature, or connection that is located within a specified nearby distance or vicinity.
-
E.
sharesCommonAncestorWith
Indicates that two entities have at least one ancestor in common in their lineage or hierarchy.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.