Triple
T15483949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Müllerstraße |
E376992
|
entity |
| Predicate | hasNameComponent |
P24447
|
FINISHED |
| Object | Müller |
E35404
|
NE FINISHED |
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: Müller | Statement: [Müllerstraße, hasNameComponent, Müller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Müller Context triple: [Müllerstraße, hasNameComponent, Müller]
-
A.
Müller
chosen
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
B.
Bamba Müller
Bamba Müller was the German-Ethiopian wife of Maharaja Duleep Singh, the last Maharaja of the Sikh Empire, and mother of several of his children in exile in Britain.
-
C.
Estermann
Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
-
D.
Mölders
Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
-
E.
Nitzschka
Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8e6ff08190b130b3a38f4190e7 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0f4e648190b9cd9b1464209224 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:45 a.m.