Triple
T3851651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | early Ottoman period |
E85306
|
entity |
| Predicate | hasMilitaryInstitution |
P4889
|
FINISHED |
| Object | early Janissary corps |
—
|
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: early Janissary corps | Statement: [early Ottoman period, hasMilitaryInstitution, early Janissary corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMilitaryInstitution Context triple: [early Ottoman period, hasMilitaryInstitution, early Janissary corps]
-
A.
institutionOfDefense
Indicates that an entity functions as an organization responsible for defense or military protection within a given jurisdiction or context.
-
B.
introducedMilitaryInstitution
Indicates that an entity established or brought into existence a military institution or organization.
-
C.
hasMilitaryBase
Indicates that one entity possesses, hosts, or contains a military base associated with or located on another entity.
-
D.
hasMilitaryPresence
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
-
E.
militaryOrganization
chosen
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebd0feb081909cc1d5bf41e4acd6 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.