Triple
T16914303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finland national football team |
E410282
|
entity |
| Predicate | worstFifaRanking |
P30621
|
FINISHED |
| Object | 110 |
—
|
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: 110 | Statement: [Finland national football team, worstFifaRanking, 110]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worstFifaRanking Context triple: [Finland national football team, worstFifaRanking, 110]
-
A.
FIFARankingWorst
chosen
Indicates that the subject has the lowest (worst) FIFA ranking among a specified set of entities.
-
B.
fifaRankingWorstYear
Indicates the year in which an entity (such as a team or player) reached its lowest (worst) position in the FIFA rankings.
-
C.
fifaHighestRanking
Indicates the highest position an entity has ever achieved in the official FIFA world rankings.
-
D.
fifaRankingHighest
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
-
E.
fifaLowestRankingDate
Indicates the date on which an entity reached its lowest-ever position in the FIFA world rankings.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3f1a2c8190a512ccc09a080eb4 |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.