Triple
T28174276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 United Kingdom European Union membership referendum |
E715546
|
entity |
| Predicate | leavePercentage |
P164097
|
FINISHED |
| Object | 51.9 |
—
|
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: 51.9 | Statement: [2016 United Kingdom European Union membership referendum, leavePercentage, 51.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavePercentage Context triple: [2016 United Kingdom European Union membership referendum, leavePercentage, 51.9]
-
A.
leaveProtection
Indicates that an entity stops providing protection or removes a protective status from another entity.
-
B.
reservationPercentage
Indicates the proportion of a resource, capacity, or allocation that is reserved relative to its total available amount.
-
C.
leaveType
Indicates the type or category of leave associated with an absence or time-off event (e.g., vacation, sick leave, parental leave).
-
D.
leaveDate
Indicates the date on which an entity departs or ceases to be present at a given place or context.
-
E.
numberOfMembersLeaving
Indicates the quantity of members that are departing or have departed from a group or organization.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6423929c8819099c32e0a42b0cd4e |
completed | May 2, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:15 p.m.