Triple
T20261914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinrich Ehrhardt |
E498860
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Zella-Mehlis |
—
|
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: Zella-Mehlis | Statement: [Heinrich Ehrhardt, placeOfBirth, Zella-Mehlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zella-Mehlis Context triple: [Heinrich Ehrhardt, placeOfBirth, Zella-Mehlis]
-
A.
Zella-Mehlis
chosen
Zella-Mehlis is a small town in the Thuringian Forest region of central Germany, known for its winter sports facilities and proximity to the city of Suhl.
-
B.
Melika
Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Mella
Mella is a river in northern Italy that flows through the province of Brescia before joining the Oglio River.
-
E.
Thereza
Thereza is a given name, most commonly a variant spelling of Theresa used as a feminine first name in various cultures.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.