Triple
T15750815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabushiki gaisha |
E381838
|
entity |
| Predicate | legalFormFor |
P64
|
FINISHED |
| Object | companies |
—
|
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: companies | Statement: [Kabushiki gaisha, legalFormFor, companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalFormFor Context triple: [Kabushiki gaisha, legalFormFor, companies]
-
A.
legalForm
chosen
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
B.
typicalLegalForm
Indicates the standard or commonly used legal organizational form associated with an entity.
-
C.
legalEmbodimentOf
Indicates that one entity serves as the legally recognized form, vehicle, or representation through which another entity exists, acts, or holds rights and obligations in law.
-
D.
countryLegalForm
Indicates the legal or organizational form that an entity has under the laws of a specific country.
-
E.
legalCitationForm
Indicates the standardized way in which a legal authority (such as a case, statute, or regulation) should be cited in legal documents.
- 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_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. |
Created at: April 10, 2026, 4:47 a.m.