Triple
T9594306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Daring (D32) |
E231492
|
entity |
| Predicate | pennantNumber |
P3153
|
FINISHED |
| Object |
D32
D32 is the pennant number of HMS Daring, a Type 45 (Daring-class) air-defence destroyer of the Royal Navy.
|
E809154
|
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: D32 | Statement: [HMS Daring (D32), pennantNumber, D32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D32 Context triple: [HMS Daring (D32), pennantNumber, D32]
-
A.
D3
D3 is the internal designation for the second-generation Audi A8 luxury sedan, produced in the mid-2000s and known for its aluminum space frame construction and advanced technology features.
-
B.
D3
D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
-
C.
D3
D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
-
D.
D33
D33 is a prehistoric megalithic tomb (hunebed) located in the municipality of Aa en Hunze in the Netherlands.
-
E.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
- 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: D32 Triple: [HMS Daring (D32), pennantNumber, D32]
Generated description
D32 is the pennant number of HMS Daring, a Type 45 (Daring-class) air-defence destroyer of the Royal Navy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D32 Target entity description: D32 is the pennant number of HMS Daring, a Type 45 (Daring-class) air-defence destroyer of the Royal Navy.
-
A.
D3
D3 is the internal designation for the second-generation Audi A8 luxury sedan, produced in the mid-2000s and known for its aluminum space frame construction and advanced technology features.
-
B.
D3
D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
-
C.
D3
D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
-
D.
D33
D33 is a prehistoric megalithic tomb (hunebed) located in the municipality of Aa en Hunze in the Netherlands.
-
E.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a14fd308190beb8fda5a9e912c7 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161938e108190aea76d528f9208a2 |
completed | April 4, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69d1624400b8819085b1c1a93cddc3f6 |
completed | April 4, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d162b39c888190ae71b05ee2e132a8 |
completed | April 4, 2026, 7:12 p.m. |
Created at: March 30, 2026, 8:07 p.m.