Triple
T5603136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRL Grand Final |
E147167
|
entity |
| Predicate | hasAttendanceType |
P65012
|
FINISHED |
| Object | large crowd event |
—
|
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: large crowd event | Statement: [NRL Grand Final, hasAttendanceType, large crowd event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAttendanceType Context triple: [NRL Grand Final, hasAttendanceType, large crowd event]
-
A.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
B.
hasVisitorType
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
-
C.
hasScheduleType
Indicates that an entity is associated with a particular kind or category of schedule (e.g., recurring, one-time, or specific scheduling pattern).
-
D.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
-
E.
typeOfPresence
Indicates the manner or mode in which an entity is present or exists in relation to another entity, context, or environment.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020dce10c8190bf456602eec211d4 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:39 p.m.