Triple
T29619691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligue A (France) |
E754960
|
entity |
| Predicate | hierarchicalLevelInCountry |
P166413
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Ligue A (France), hierarchicalLevelInCountry, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hierarchicalLevelInCountry Context triple: [Ligue A (France), hierarchicalLevelInCountry, 1]
-
A.
hierarchicalLevelInRegion
Indicates the relative rank or position an entity holds within a defined regional or geographic hierarchy.
-
B.
levelInAdministrativeHierarchy
Indicates the relative position or rank of an administrative unit within a broader hierarchical administrative structure.
-
C.
hasCountrySubdivisionLevel
Indicates the hierarchical administrative level or tier at which a given country subdivision (such as a state, province, or region) is defined within the country's overall territorial organization.
-
D.
hierarchyLevelCode
chosen
Indicates the specific rank or position an entity holds within a defined hierarchy or organizational structure.
-
E.
currencyHierarchyLevel
Indicates the relative position or rank of a currency within a structured hierarchy of currencies or monetary units.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e23382081908e50428ba103b2e8 |
completed | May 2, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:33 p.m.