Triple
T18372053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTEA |
E446204
|
entity |
| Predicate | termForCorporateWorks |
P130869
|
FINISHED |
| Object | 95 years from publication |
—
|
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: 95 years from publication | Statement: [CTEA, termForCorporateWorks, 95 years from publication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termForCorporateWorks Context triple: [CTEA, termForCorporateWorks, 95 years from publication]
-
A.
workIsPartOf
Indicates that one work is a component, section, or subset of a larger work.
-
B.
previousCorporateTerm
Indicates that one corporate term or period of office directly preceded another in time.
-
C.
worksWithAbbreviation
Indicates that one entity uses or is associated with a specific abbreviated form of another entity’s name or designation.
-
D.
worksInOrganizationType
Indicates that an entity is employed by or performs work within an organization of a specified type (e.g., company, nonprofit, government agency).
-
E.
legalFormOfWork
Indicates the legally defined type or classification of employment or work arrangement under which an activity is performed.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51754539c819083f13b85cacb6cce |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:44 a.m.