Triple
T24580139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugby League World Cup 9s |
E608224
|
entity |
| Predicate | cityOfFirstEdition |
P13815
|
FINISHED |
| Object | Sydney |
—
|
NE NERFINISHED |
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: Sydney | Statement: [Rugby League World Cup 9s, cityOfFirstEdition, Sydney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfFirstEdition Context triple: [Rugby League World Cup 9s, cityOfFirstEdition, Sydney]
-
A.
firstCompleteEditionPlace
Indicates the place where the first complete edition of a work was published or produced.
-
B.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
-
C.
isFirstEditionOf
Indicates that one entity is the original first published edition of another work or publication.
-
D.
placeOfFirstPublication
chosen
Indicates the location where a work was first published or made publicly available.
-
E.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97fde9c81909d8de91b6358a015 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.