Triple
T23947534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Anzhi Makhachkala |
E602953
|
entity |
| Predicate | resultOfFinancialDifficulties |
P24789
|
FINISHED |
| Object | mass sale of star players |
—
|
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: mass sale of star players | Statement: [FC Anzhi Makhachkala, resultOfFinancialDifficulties, mass sale of star players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultOfFinancialDifficulties Context triple: [FC Anzhi Makhachkala, resultOfFinancialDifficulties, mass sale of star players]
-
A.
hasEconomicChallenge
chosen
Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
-
B.
hardship
Indicates that an entity is experiencing or causing significant difficulty, suffering, or adverse conditions.
-
C.
reasonForBankruptcyFiling
Indicates the cause, circumstance, or justification that led an entity to file for bankruptcy.
-
D.
hasSocioeconomicIssue
Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
-
E.
debt
Indicates that one entity owes money or an obligation to another entity, typically to be repaid under agreed conditions.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02fb4fc8190835baf3bcf909d4d |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:18 p.m.