Triple
T11775261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institut_für_deutsche_Sprache |
E280001
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
IDS
IDS is the Institut für Deutsche Sprache, a leading German research institute specializing in the study and documentation of the German language.
|
E945987
|
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: IDS | Statement: [Institut_für_deutsche_Sprache, shortName, IDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IDS Context triple: [Institut_für_deutsche_Sprache, shortName, IDS]
-
A.
IDS
IDS is an international scientific organization that coordinates and provides precise geodetic and geophysical data and products derived from the DORIS satellite tracking system.
-
B.
IID
IID (Interface Identifier) is a globally unique identifier used in Microsoft's Component Object Model (COM) to distinguish and reference specific interfaces.
-
C.
SID
SID is the IATA airport code for Amílcar Cabral International Airport, the main airport on Sal Island in Cape Verde.
-
D.
SID
SID is the three-letter National Rail station code assigned to Sidcup railway station in southeast London, England.
-
E.
ISIS
ISIS is a violent extremist Islamist militant group known for establishing a self-proclaimed caliphate in parts of Iraq and Syria and carrying out widespread terrorist attacks.
- 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: IDS Triple: [Institut_für_deutsche_Sprache, shortName, IDS]
Generated description
IDS is the Institut für Deutsche Sprache, a leading German research institute specializing in the study and documentation of the German language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IDS Target entity description: IDS is the Institut für Deutsche Sprache, a leading German research institute specializing in the study and documentation of the German language.
-
A.
IDS
IDS is an international scientific organization that coordinates and provides precise geodetic and geophysical data and products derived from the DORIS satellite tracking system.
-
B.
IID
IID (Interface Identifier) is a globally unique identifier used in Microsoft's Component Object Model (COM) to distinguish and reference specific interfaces.
-
C.
SID
SID is the IATA airport code for Amílcar Cabral International Airport, the main airport on Sal Island in Cape Verde.
-
D.
SID
SID is the three-letter National Rail station code assigned to Sidcup railway station in southeast London, England.
-
E.
ISIS
ISIS is a violent extremist Islamist militant group known for establishing a self-proclaimed caliphate in parts of Iraq and Syria and carrying out widespread terrorist attacks.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55f415081908eec78cb2c956598 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090a95a908190a99e579e51cbeb4a |
completed | April 28, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69f0bd3e585481908223acfd780a72a2 |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef31076c8190b33a6a2778d7ffbb |
completed | April 28, 2026, 5:32 p.m. |
Created at: April 8, 2026, 9:41 p.m.