Triple
T14556167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INSA Rennes |
E341547
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | INSA Rennes |
E341547
|
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: INSA Rennes | Statement: [INSA Rennes, shortName, INSA Rennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INSA Rennes Context triple: [INSA Rennes, shortName, INSA Rennes]
-
A.
INSA Rennes
chosen
INSA Rennes is a leading French public engineering school located in Rennes, specializing in science and technology education and research.
-
B.
INSA Lyon
INSA Lyon is a leading French grande école and engineering school located near Lyon, renowned for its strong research activity and multidisciplinary engineering programs.
-
C.
INSA Rouen Normandie
INSA Rouen Normandie is a French grande école of engineering that offers multidisciplinary engineering education and research programs as part of the national INSA network.
-
D.
Rennes 2 University
Rennes 2 University is a French public university in Rennes specializing in the arts, humanities, social sciences, and sports sciences.
-
E.
École Normale Supérieure de Rennes
École Normale Supérieure de Rennes is a prestigious French grande école specializing in training high-level researchers, academics, and professionals in science, engineering, and social sciences.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8abde0308190819da6867e703ea7 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.