Triple
T11210315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENS Paris |
E265287
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ENS Ulm
ENS Ulm is the Paris-based campus of the École normale supérieure, renowned as one of France’s most prestigious and selective institutions for higher education and research.
|
E911971
|
NE FINISHED |
How this triple was built (4 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: ENS Ulm | Statement: [ENS Paris, shortName, ENS Ulm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENS Ulm Context triple: [ENS Paris, shortName, ENS Ulm]
-
A.
MTU München
MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
-
B.
Frankfurt U9
Frankfurt U9 is a line of the Frankfurt U-Bahn rapid transit network in Frankfurt am Main, Germany.
-
C.
Frankfurt U2
Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
-
D.
FH Münster
FH Münster is a German university of applied sciences based in Münster, known for its practice-oriented programs and strong links to industry and regional development.
-
E.
TH Karlsruhe
TH Karlsruhe is the traditional abbreviation for the University of Karlsruhe, a prominent German technical university known for its engineering and technology programs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ENS Ulm Triple: [ENS Paris, shortName, ENS Ulm]
Generated description
ENS Ulm is the Paris-based campus of the École normale supérieure, renowned as one of France’s most prestigious and selective institutions for higher education and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ENS Ulm Target entity description: ENS Ulm is the Paris-based campus of the École normale supérieure, renowned as one of France’s most prestigious and selective institutions for higher education and research.
-
A.
MTU München
MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
-
B.
Frankfurt U9
Frankfurt U9 is a line of the Frankfurt U-Bahn rapid transit network in Frankfurt am Main, Germany.
-
C.
Frankfurt U2
Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
-
D.
FH Münster
FH Münster is a German university of applied sciences based in Münster, known for its practice-oriented programs and strong links to industry and regional development.
-
E.
TH Karlsruhe
TH Karlsruhe is the traditional abbreviation for the University of Karlsruhe, a prominent German technical university known for its engineering and technology programs.
- F. None of above. chosen
Provenance (5 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d6f5d4819086dcb776a0d469e8 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49747ec288190bc3e826b6de7f6f2 |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49c0a92b08190ac5debb7d67ca776 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e8dc4ec81908d0defe77827d197 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:30 p.m.