Triple
T19374552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLE |
E484632
|
entity |
| Predicate | underlyingLegalForm |
P30194
|
FINISHED |
| Object | société anonyme |
—
|
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: société anonyme | Statement: [GLE, underlyingLegalForm, société anonyme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingLegalForm Context triple: [GLE, underlyingLegalForm, société anonyme]
-
A.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
B.
hasUnderlyingCompanyLegalForm
chosen
Indicates that an entity is associated with, or governed by, a specific underlying legal form of a company.
-
C.
typicalLegalForm
Indicates the standard or commonly used legal organizational form associated with an entity.
-
D.
previousLegalForm
Indicates the legal form or organizational status an entity had before its current legal form.
-
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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61a5acc4481908fecfb57af16d037 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.