Triple
T23694217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klötze |
E585388
|
entity |
| Predicate | isLocatedInFederalRepublic |
P13794
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Klötze, isLocatedInFederalRepublic, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInFederalRepublic Context triple: [Klötze, isLocatedInFederalRepublic, Germany]
-
A.
locatedInFederalEntity
chosen
Indicates that one entity is geographically or administratively situated within the jurisdiction or boundaries of a specified federal entity.
-
B.
politicallyLocatedIn
Indicates that an entity is situated within or belongs to a particular political or administrative jurisdiction or territory.
-
C.
federalCountry
Indicates that a country has a federal system of government in which authority is constitutionally divided between a central government and constituent political units (such as states or provinces).
-
D.
joinedFederalRepublic
Indicates that an entity became a member of, or was incorporated into, a federal republic.
-
E.
locatedInSubnationalEntity
Indicates that one entity is geographically or administratively situated within a specific subnational division, such as a state, province, or region.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c47b80819083f31dbd5443343e |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.