Triple
T7722176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Street |
E175037
|
entity |
| Predicate | maximumAttendanceMatch |
P78778
|
FINISHED |
| Object | St Mirren vs Celtic |
—
|
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: St Mirren vs Celtic | Statement: [Love Street, maximumAttendanceMatch, St Mirren vs Celtic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumAttendanceMatch Context triple: [Love Street, maximumAttendanceMatch, St Mirren vs Celtic]
-
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.
grandFinalAttendance
Indicates the number of people who attended the grand final event.
-
C.
decisiveMatchAttendance
Indicates that an entity attends a match whose outcome is crucial or decisive, such as determining a championship, qualification, or elimination.
-
D.
fanAttendance
Indicates the number or presence of fans attending an event, such as a game, show, or performance.
-
E.
stadiumCapacityApprox
Indicates an approximate number of people that a stadium can accommodate.
- 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_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. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:05 p.m.