Triple
T626246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominica |
E15825
|
entity |
| Predicate | internetTLD |
P248
|
FINISHED |
| Object |
.dm
.dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
|
E78399
|
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: .dm | Statement: [Dominica, internetTLD, .dm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .dm Context triple: [Dominica, internetTLD, .dm]
-
A.
DM
DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
-
B.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
C.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
D.
DK
DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
-
E.
DS
DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
- 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: .dm Triple: [Dominica, internetTLD, .dm]
Generated description
.dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .dm Target entity description: .dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
-
A.
DM
DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
-
B.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
C.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
D.
DK
DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
-
E.
DS
DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e587c448190987943a6aad209d1 |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5670380948190954bbdf802ed403c |
completed | March 2, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_69a5678d8e1881908da2b274f6bac0b9 |
completed | March 2, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56808933c81909611d0aa11126ec6 |
completed | March 2, 2026, 10:35 a.m. |
Created at: March 1, 2026, 7:35 p.m.