Triple
T16704243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian de Deux-Ponts |
E405923
|
entity |
| Predicate | nobleTitle |
P914
|
FINISHED |
| Object | Count of Forbach |
E296447
|
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: Count of Forbach | Statement: [Christian de Deux-Ponts, nobleTitle, Count of Forbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Forbach Context triple: [Christian de Deux-Ponts, nobleTitle, Count of Forbach]
-
A.
Forbach
chosen
Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
-
B.
Forbach
Forbach is a picturesque village in Germany’s Black Forest region, known for its traditional wooden bridge, historic church, and scenic location along the Murg River.
-
C.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
D.
Willanzheim
Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
-
E.
Guebwiller
Guebwiller is a commune in northeastern France known for its wine production and location at the foot of the Vosges mountains in the Alsace region.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3833496dc8190ae4b4a03ba04d69d |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a36a5c8190a1486fcf11995b7c |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.