Triple
T6863093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boxing Day Test |
E158329
|
entity |
| Predicate | firstDayAttendance |
P23195
|
FINISHED |
| Object | often very high |
—
|
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: often very high | Statement: [Boxing Day Test, firstDayAttendance, often very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDayAttendance Context triple: [Boxing Day Test, firstDayAttendance, often very high]
-
A.
peakDayAttendance
chosen
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
B.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
C.
recordAttendance
Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
-
D.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
E.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an event.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.