Triple
T4190663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count (continental Europe) |
E89025
|
entity |
| Predicate | correspondsToTitle |
P10405
|
FINISHED |
| Object | Graf (German) |
E151142
|
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: Graf (German) | Statement: [Count (continental Europe), correspondsToTitle, Graf (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graf (German) Context triple: [Count (continental Europe), correspondsToTitle, Graf (German)]
-
A.
Graf (German-speaking countries)
Graf is a historical noble title used in German-speaking countries, roughly equivalent in rank to an earl or count.
-
B.
Graf
chosen
Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
-
C.
Graf zu Waldeck
Graf zu Waldeck is a noble title historically borne by members of the German princely House of Waldeck.
-
D.
Roth (German)
Roth (German) is a German-language surname and place name that commonly refers to various towns in Germany and to people of German origin bearing the name Roth.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af034019848190bd5486521c375325 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a05e634819094bbe145f86d8786 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:46 p.m.