Triple
T9514575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Examination Schools, University of Oxford |
E229489
|
entity |
| Predicate | hasUseDuringVacation |
P88491
|
FINISHED |
| Object | conference venue |
—
|
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: conference venue | Statement: [Examination Schools, University of Oxford, hasUseDuringVacation, conference venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUseDuringVacation Context triple: [Examination Schools, University of Oxford, hasUseDuringVacation, conference venue]
-
A.
hasVacationHomeLocation
Indicates that an entity owns or uses a vacation home that is located in a specified place.
-
B.
setDuringHoliday
Indicates that an event, action, or state occurs within the time period of a specified holiday.
-
C.
isPeakVacationMonthIn
Indicates that a given month falls within the period of highest typical vacation activity in a specified location or context.
-
D.
hasWinterBreak
Indicates that an entity includes or provides a designated period of time off during the winter season.
-
E.
hasWorkPeriod
Indicates that an entity is associated with a specific span of time during which it performs or is engaged in some work or activity.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986bfcac8190aa97f8975cb17f6c |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:58 p.m.