Triple
T23128171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heino Ferch |
E577093
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ferch |
—
|
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: Ferch | Statement: [Heino Ferch, familyName, Ferch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferch Context triple: [Heino Ferch, familyName, Ferch]
-
A.
Ferch
chosen
Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
-
B.
Ferike
Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
-
C.
Ferla
Ferla is a small historic town in southeastern Sicily, Italy, known as a gateway to the UNESCO-listed Pantalica archaeological area and its surrounding natural landscapes.
-
D.
Feyt
Feyt is a small commune in central France, located in the Corrèze department within the historical region of Limousin.
-
E.
Freren
Freren is a small town in Lower Saxony, Germany, known for its rural character and historical roots in the Emsland region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e857b40819081f9df03fff64d48 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 3:59 p.m.