Triple
T15750836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabushiki gaisha |
E381838
|
entity |
| Predicate | mayHaveOrgan |
P120492
|
FINISHED |
| Object | statutory auditors |
—
|
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: statutory auditors | Statement: [Kabushiki gaisha, mayHaveOrgan, statutory auditors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHaveOrgan Context triple: [Kabushiki gaisha, mayHaveOrgan, statutory auditors]
-
A.
имеетОрган
Indicates that one entity possesses or contains a specific organ as a part of its body.
-
B.
hasOrganStructure
Indicates that one entity possesses, contains, or is characterized by a particular organ structure.
-
C.
hasOrganSystem
Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
-
D.
hadOrgan
Indicates that an entity previously possessed or contained a specific organ as part of its body.
-
E.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
- F. None of above. chosen
Provenance (4 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:47 a.m.