Triple
T15924998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hufeisenplan |
E386183
|
entity |
| Predicate | allegedImplementationArea |
P103505
|
FINISHED |
| Object | villages in Kosovo |
—
|
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: villages in Kosovo | Statement: [Hufeisenplan, allegedImplementationArea, villages in Kosovo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedImplementationArea Context triple: [Hufeisenplan, allegedImplementationArea, villages in Kosovo]
-
A.
regionOfImplementation
chosen
Indicates the geographic or administrative area within which an action, policy, project, or measure is carried out or applied.
-
B.
regionImplied
Indicates that a broader or more general region is inferred or assumed from a given, more specific regional reference.
-
C.
implementsPolicyArea
Indicates that an entity carries out, enforces, or operationalizes a specific policy area in practice.
-
D.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
E.
assessmentAreaDefinedBy
Indicates that the scope or domain of an assessment is specified or delimited by a particular area or boundary.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.