Triple
T7722175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Street |
E175037
|
entity |
| Predicate | maximumRecordedAttendance |
P26094
|
FINISHED |
| Object | about 47,438 |
—
|
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: about 47,438 | Statement: [Love Street, maximumRecordedAttendance, about 47,438]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumRecordedAttendance Context triple: [Love Street, maximumRecordedAttendance, about 47,438]
-
A.
averageAttendanceHigh
Indicates that the typical or mean attendance level for an event, venue, or activity is considered high relative to a defined standard or threshold.
-
B.
fanAttendance
chosen
Indicates the number or presence of fans attending an event, such as a game, show, or performance.
-
C.
grandFinalAttendance
Indicates the number of people who attended the grand final event.
-
D.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
E.
historicallyAttendedBy
Indicates that an entity has been attended by another entity at some point in the past, rather than in the present.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.