Triple
T34683261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Militärstrukturen des Warschauer Paktes |
E890673
|
entity |
| Predicate | Militärzweig |
P59533
|
FINISHED |
| Object | Landstreitkräfte |
—
|
NE NERFINISHED |
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: Landstreitkräfte | Statement: [Militärstrukturen des Warschauer Paktes, Militärzweig, Landstreitkräfte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Militärzweig Context triple: [Militärstrukturen des Warschauer Paktes, Militärzweig, Landstreitkräfte]
-
A.
militaryBranchComponentOf
chosen
Indicates that one military branch or unit is an organizational component or subordinate part of a larger military branch or force.
-
B.
militarySection
Indicates that one entity is a specific branch, division, or section within a larger military organization or force.
-
C.
militaryBranchOfGovernment
Indicates that a military organization functions as an official branch or component of a government.
-
D.
armedForcesCategory
Indicates the classification of a country's or group's military forces into a specific type or category (e.g., army, navy, air force, paramilitary).
-
E.
militaryOrganization
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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 1, 2026, 2:05 a.m.