Triple
T118350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Mark |
E2391
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object |
DEM
DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
|
E12914
|
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: DEM | Statement: [Deutsche Mark, ISO4217Code, DEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEM Context triple: [Deutsche Mark, ISO4217Code, DEM]
-
A.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
B.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
-
C.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
D.
DS
DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
-
E.
DEC
DEC is the New York State agency responsible for conserving, improving, and protecting the state's natural resources and environment.
- 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: DEM Triple: [Deutsche Mark, ISO4217Code, DEM]
Generated description
DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DEM Target entity description: DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
-
A.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
B.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
-
C.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
D.
DS
DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
-
E.
DEC
DEC is the New York State agency responsible for conserving, improving, and protecting the state's natural resources and environment.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a257145e0c81908a00c6c4a17b53f0 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917de638819087f7c16d21963c63 |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a295bbc23c81908194d6f4bea4fcd4 |
completed | Feb. 28, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2968bffd881908147c66838776fef |
completed | Feb. 28, 2026, 7:17 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.