Triple
T15284246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonzaga |
E365353
|
entity |
| Predicate | regionRuled |
P15936
|
FINISHED |
| Object | Rethel |
E823167
|
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: Rethel | Statement: [Gonzaga, regionRuled, Rethel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rethel Context triple: [Gonzaga, regionRuled, Rethel]
-
A.
Rethel
chosen
Rethel is a small historic town in northeastern France that serves as an administrative and commercial center in the Ardennes region.
-
B.
La Roche-en-Ardenne
La Roche-en-Ardenne is a picturesque town in Belgium’s Ardennes region, known for its medieval castle ruins, outdoor activities, and World War II history.
-
C.
Thionville
Thionville is a town in northeastern France near the Luxembourg border, known historically as a strategic industrial and military center in the Moselle region.
-
D.
Braine-le-Château
Braine-le-Château is a historic municipality in the Belgian province of Walloon Brabant, known for its medieval architecture and well-preserved village center.
-
E.
Maubeuge
Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b39b6f88190ac9d6532e99fda31 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:15 a.m.