Triple
T32017531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TDY |
E817584
|
entity |
| Predicate | legalFormOfIssuer |
P64
|
FINISHED |
| Object | public company |
—
|
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: public company | Statement: [TDY, legalFormOfIssuer, public company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalFormOfIssuer Context triple: [TDY, legalFormOfIssuer, public company]
-
A.
issuerLegalFormAbbreviation
Indicates the abbreviated designation of the legal form associated with the issuer in the relationship.
-
B.
issuerFormationMethod
Indicates the method or process by which an issuer was created or legally formed.
-
C.
legalForm
chosen
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
D.
legalEntityOf
Indicates that one entity is the legally recognized organization or body to which another entity belongs or with which it is formally associated.
-
E.
countryLegalForm
Indicates the legal or organizational form that an entity has under the laws of a specific country.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: May 1, 2026, 12:16 a.m.