Triple
T26212148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatian Army |
E655516
|
entity |
| Predicate | introducedProfessionalService |
P171748
|
FINISHED |
| Object | 2000s |
—
|
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: 2000s | Statement: [Croatian Army, introducedProfessionalService, 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedProfessionalService Context triple: [Croatian Army, introducedProfessionalService, 2000s]
-
A.
isProfessionalService
Indicates that one entity provides specialized, expert services to another in a formal, professional capacity.
-
B.
introducedForServiceWith
Indicates that one entity was presented or brought to the attention of another entity specifically for the purpose of providing a service.
-
C.
professionalWins
Indicates that one entity has achieved a certain number of victories or successes in a professional context, such as in a career, competition, or formal domain.
-
D.
professionalProgram
Indicates that an entity is enrolled in, associated with, or part of a specialized professional education or training program.
-
E.
professionServed
Indicates that an entity has performed work or provided services in a particular profession or occupational role.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a28b8ea881908733485374771c51 |
completed | May 3, 2026, 1:19 a.m. |
Created at: April 26, 2026, 8:52 p.m.