Triple
T9047215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian First Division |
E216783
|
entity |
| Predicate | matchResultPointsLoss |
P7115
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Russian First Division, matchResultPointsLoss, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchResultPointsLoss Context triple: [Russian First Division, matchResultPointsLoss, 0]
-
A.
loserPoints
chosen
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
-
B.
loserScore
Indicates the number of points or score achieved by the losing participant in a competitive event or comparison.
-
C.
matchPointsDraw
Indicates that the entities receive or share an equal number of points as a result of a drawn or tied match.
-
D.
pointsScoredByLosingTeam
Indicates the number of points scored by the team that did not win in a given game or match.
-
E.
game7LoserPoints
Indicates the number of points scored by the team that lost in game 7 of a series or matchup.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b5022c88190ab6b6de3c3830a41 |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:09 p.m.