Triple
T3652670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsches Institut für Lebensmitteltechnik |
E77456
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
DIL
DIL is a German research institute specializing in food technology and innovation.
|
E374942
|
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: DIL | Statement: [Deutsches Institut für Lebensmitteltechnik, hasAbbreviation, DIL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DIL Context triple: [Deutsches Institut für Lebensmitteltechnik, hasAbbreviation, DIL]
-
A.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
B.
Dimlî
Dimlî is a Northwestern Iranian language spoken primarily in eastern Turkey, often considered a major dialect or variety of Zazaki.
-
C.
Digil
Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
-
D.
DLG
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
-
E.
Diller
Diller is a surname most prominently associated with American media executive and businessman Barry Diller.
- 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: DIL Triple: [Deutsches Institut für Lebensmitteltechnik, hasAbbreviation, DIL]
Generated description
DIL is a German research institute specializing in food technology and innovation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DIL Target entity description: DIL is a German research institute specializing in food technology and innovation.
-
A.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
B.
Dimlî
Dimlî is a Northwestern Iranian language spoken primarily in eastern Turkey, often considered a major dialect or variety of Zazaki.
-
C.
Digil
Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
-
D.
DLG
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
-
E.
Diller
Diller is a surname most prominently associated with American media executive and businessman Barry Diller.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b805a48190a7bc230a382365d6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f435c088190976c1dab165665f1 |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b44fd80f408190a0fd4d663dbfb094 |
completed | March 13, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4504126c081909cbdc952f7e1e400 |
completed | March 13, 2026, 5:58 p.m. |
Created at: March 8, 2026, 3:24 p.m.