Triple
T22349009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Bramble |
E552476
|
entity |
| Predicate | shipDesignation |
P19663
|
FINISHED |
| Object |
J11
J11 is the pennant number assigned to HMS Bramble, a Royal Navy minesweeper that served during the Second World War.
|
E1531075
|
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: J11 | Statement: [HMS Bramble, shipDesignation, J11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J11 Context triple: [HMS Bramble, shipDesignation, J11]
-
A.
J1
J1 is the top professional football (soccer) division in Japan, featuring the country’s highest-level clubs.
-
B.
J100
J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
-
C.
NJ-11
NJ-11 is the commonly used abbreviation for New Jersey's 11th congressional district, a U.S. House of Representatives district located in northern New Jersey.
-
D.
JC11
JC11 is the JR East station code assigned to Kichijōji Station on Tokyo’s Chūō Line.
-
E.
J120
J120 is the fourth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform produced in the early 2000s known for its off-road capability and global popularity.
- 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: J11 Triple: [HMS Bramble, shipDesignation, J11]
Generated description
J11 is the pennant number assigned to HMS Bramble, a Royal Navy minesweeper that served during the Second World War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J11 Target entity description: J11 is the pennant number assigned to HMS Bramble, a Royal Navy minesweeper that served during the Second World War.
-
A.
J1
J1 is the top professional football (soccer) division in Japan, featuring the country’s highest-level clubs.
-
B.
J100
J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
-
C.
NJ-11
NJ-11 is the commonly used abbreviation for New Jersey's 11th congressional district, a U.S. House of Representatives district located in northern New Jersey.
-
D.
JC11
JC11 is the JR East station code assigned to Kichijōji Station on Tokyo’s Chūō Line.
-
E.
J120
J120 is the fourth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform produced in the early 2000s known for its off-road capability and global popularity.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad5337cb48190b717d997d367551a |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad9947a8481909b36b72d15432d63 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada8fe7208190bc1143e328abc112 |
completed | May 18, 2026, 9:23 a.m. |
Created at: April 16, 2026, 8:43 p.m.