Triple
T3063871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division 1 Féminine |
E62057
|
entity |
| Predicate | tierInCountry |
P19888
|
FINISHED |
| Object | top tier |
—
|
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: top tier | Statement: [Division 1 Féminine, tierInCountry, top tier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierInCountry Context triple: [Division 1 Féminine, tierInCountry, top tier]
-
A.
tierInNationalFootball
chosen
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
B.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
C.
tierInLeagueSystem
Indicates the specific hierarchical level or division an entity occupies within an organized league system.
-
D.
tierCount
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
-
E.
isTierOneNation
Indicates that a nation belongs to the highest-priority or most strategically important group of countries according to a given classification or policy framework.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea2154c8190ab243feb77170a15 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.