Triple
T1091726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical University of Munich |
E24177
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
TU9
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
|
E126174
|
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: TU9 | Statement: [Technical University of Munich, memberOf, TU9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TU9 Context triple: [Technical University of Munich, memberOf, TU9]
-
A.
TU
TU is the international vehicle registration code assigned to Tunisia.
-
B.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
C.
TNUA
TNUA is an academic association or network that includes Nagoya University among its member institutions.
-
D.
TUNAIR
TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
-
E.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
- 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: TU9 Triple: [Technical University of Munich, memberOf, TU9]
Generated description
TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TU9 Target entity description: TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
-
A.
TU
TU is the international vehicle registration code assigned to Tunisia.
-
B.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
C.
TNUA
TNUA is an academic association or network that includes Nagoya University among its member institutions.
-
D.
TUNAIR
TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
-
E.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b982018481908b222df095e318c0 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2a20b48190b3a550f6e5ee13e1 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4cae760881909329701561ad2ba6 |
completed | March 7, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d7176808190b74d535d7e1b7c6a |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.