Triple
T16240586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Limoges |
E394232
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Tulle |
E12829
|
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: Tulle | Statement: [University of Limoges, hasCampus, Tulle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulle Context triple: [University of Limoges, hasCampus, Tulle]
-
A.
Tulle
chosen
Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
-
B.
La Gleize
La Gleize is a village in the Belgian Ardennes best known as a major battlefield of the Battle of the Bulge during World War II.
-
C.
Buren
Buren is the entomologist who formally described the invasive red imported fire ant species Solenopsis invicta.
-
D.
Buren
Buren is a historic Dutch town in the province of Gelderland, known for its ties to the Dutch royal family and its well-preserved medieval character.
-
E.
Plauen lace
Plauen lace is a renowned type of fine machine-made lace originating from Plauen, Germany, celebrated for its intricate patterns and high-quality textile craftsmanship.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455e1ce08190b97e2ab3e8c6d535 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edd1ed08190aa0211c3b17a918e |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.