Triple
T16603973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brisbane Bullets |
E403402
|
entity |
| Predicate | statusBetween2008And2016 |
P123502
|
FINISHED |
| Object | inactive in NBL |
—
|
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: inactive in NBL | Statement: [Brisbane Bullets, statusBetween2008And2016, inactive in NBL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusBetween2008And2016 Context triple: [Brisbane Bullets, statusBetween2008And2016, inactive in NBL]
-
A.
statusBefore2016
Indicates the status or condition that an entity had prior to the year 2016.
-
B.
statusAfter2018
Indicates the condition or state of something specifically during the period after the year 2018.
-
C.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
D.
crossErectedInYear
Indicates that a particular cross was erected or put in place in a specified year.
-
E.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d77d97c8190a63330897e49a9c9 |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.