Triple
T30894056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Group |
E786975
|
entity |
| Predicate | hasSignificantInterestIn |
P72007
|
FINISHED |
| Object | X5 Retail Group |
—
|
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: X5 Retail Group | Statement: [Alfa Group, hasSignificantInterestIn, X5 Retail Group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantInterestIn Context triple: [Alfa Group, hasSignificantInterestIn, X5 Retail Group]
-
A.
hasHumanInterest
Indicates that something is of particular relevance, appeal, or concern to people, often engaging their emotions, curiosity, or personal experiences.
-
B.
hasEconomicInterest
chosen
Indicates that one entity stands to gain or lose financially or materially from the performance, decisions, or outcomes associated with another entity.
-
C.
representsInterestOf
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
D.
recognizedInterest
Indicates that one entity has formally acknowledged or identified another entity’s interest in something as valid or relevant.
-
E.
hasInterestType
Indicates that an entity is associated with a specific category or type of interest it holds or is concerned with.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 8:49 p.m.