Triple
T3065394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isle of Wight Festival |
E62092
|
entity |
| Predicate | attendanceRecord |
P23195
|
FINISHED |
| Object | over 600000 in 1970 |
—
|
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: over 600000 in 1970 | Statement: [Isle of Wight Festival, attendanceRecord, over 600000 in 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceRecord Context triple: [Isle of Wight Festival, attendanceRecord, over 600000 in 1970]
-
A.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
B.
recordAttendance
Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
-
C.
peakDayAttendance
chosen
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
D.
recordAttendanceCompetition
Indicates that an entity records or logs attendance information for a competition or competitive event.
-
E.
historicalPresence
Indicates that an entity existed, was active, or had a notable presence in a particular place or context during a past time period.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fc01dc81908fbdf7c1ef73afe4 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.