Triple
T23497399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Koldewey |
E571738
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Koldewey |
—
|
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: Koldewey | Statement: [Robert Koldewey, familyName, Koldewey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koldewey Context triple: [Robert Koldewey, familyName, Koldewey]
-
A.
Koldewey
chosen
Koldewey is a German surname most notably associated with Robert Koldewey, the archaeologist who led the excavation of ancient Babylon.
-
B.
Weigert
Weigert is a German-language surname borne by various notable individuals in fields such as science, sports, and the arts.
-
C.
Kniphausen
Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
-
D.
Beckstein
Beckstein is a wine-producing village and district of the town Lauda-Königshofen in the Main-Tauber region of Baden-Württemberg, Germany.
-
E.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7e0c5a48190badb8303f40f6180 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.