Triple
T3828998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8th Battalion, Durham Light Infantry |
E88761
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
8 DLI
8 DLI is the commonly used shorthand for the 8th Battalion of the Durham Light Infantry, a British Army infantry unit that served notably during the World Wars.
|
E390189
|
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: 8 DLI | Statement: [8th Battalion, Durham Light Infantry, nickname, 8 DLI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 8 DLI Context triple: [8th Battalion, Durham Light Infantry, nickname, 8 DLI]
-
A.
D8
D8 is the commonly used abbreviation for California Department of Transportation's District 8, which oversees state highways and transportation infrastructure in parts of Southern California.
-
B.
DIL
DIL is a German research institute specializing in food technology and innovation.
-
C.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
D.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
E.
D-1
D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
- 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: 8 DLI Triple: [8th Battalion, Durham Light Infantry, nickname, 8 DLI]
Generated description
8 DLI is the commonly used shorthand for the 8th Battalion of the Durham Light Infantry, a British Army infantry unit that served notably during the World Wars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 8 DLI Target entity description: 8 DLI is the commonly used shorthand for the 8th Battalion of the Durham Light Infantry, a British Army infantry unit that served notably during the World Wars.
-
A.
D8
D8 is the commonly used abbreviation for California Department of Transportation's District 8, which oversees state highways and transportation infrastructure in parts of Southern California.
-
B.
DIL
DIL is a German research institute specializing in food technology and innovation.
-
C.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
D.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
E.
D-1
D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb683c2081908ffa6e759a3470fe |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb54636c8190a46224e0a8215e26 |
completed | March 14, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69b4fc1d144881908affcdae84a3c395 |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc942b588190985b191376289258 |
completed | March 14, 2026, 6:13 a.m. |
Created at: March 9, 2026, 3:17 p.m.