Triple
T21497289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad Weiser |
E530387
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Affstätt |
—
|
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: Affstätt | Statement: [Conrad Weiser, birthPlace, Affstätt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affstätt Context triple: [Conrad Weiser, birthPlace, Affstätt]
-
A.
Affstätt
chosen
Affstätt is a village and district (Stadtteil) of the town of Herrenberg in the state of Baden-Württemberg, Germany.
-
B.
Abstatt
Abstatt is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing surroundings.
-
C.
Årsta
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
-
D.
Åsta
Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
-
E.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea58faa08190ab9f60b0db3c425b |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:23 p.m.