Triple
T33772287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESC 1991 |
E865410
|
entity |
| Predicate | countriesTiedForFirst |
P145027
|
FINISHED |
| Object | Sweden |
—
|
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: Sweden | Statement: [ESC 1991, countriesTiedForFirst, Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countriesTiedForFirst Context triple: [ESC 1991, countriesTiedForFirst, Sweden]
-
A.
topRankedScoreCountry
chosen
Indicates that a country has the highest (top-ranked) score among a set of countries according to a specified scoring metric.
-
B.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
-
C.
mostTeamsInCountry
Indicates that an entity has the highest number of teams located within a given country compared to all other entities.
-
D.
topScorerCountry
Indicates the country associated with the individual or team that achieved the highest score in a given context or competition.
-
E.
countryRepresentedCount
Indicates the number of distinct countries that are represented or associated with a given entity.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00d24043e8819090cc473b6c0923d0 |
completed | May 10, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_6a00d1ec12fc81908c514ed088ef8300 |
completed | May 10, 2026, 6:43 p.m. |
Created at: May 1, 2026, 1:45 a.m.