Triple
T5603240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-League Grand Final |
E147169
|
entity |
| Predicate | loserReceives |
P65014
|
FINISHED |
| Object | runners-up medals |
—
|
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: runners-up medals | Statement: [A-League Grand Final, loserReceives, runners-up medals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loserReceives Context triple: [A-League Grand Final, loserReceives, runners-up medals]
-
A.
loserStatus
Indicates that an entity has been judged or designated as the loser in a particular comparison, contest, or evaluative context.
-
B.
loserParty
Indicates that a particular political party was the one that lost in a given election or contest.
-
C.
loserScore
Indicates the number of points or score achieved by the losing participant in a competitive event or comparison.
-
D.
loserPoints
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
-
E.
winnerReceives
Indicates that the entity identified as the winner is granted or awarded the specified item, benefit, or outcome as a result of winning.
- 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.