Triple
T17048694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Lord of the Admiralty |
E413636
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Whitehall
Whitehall is a central district in London that serves as the heart of the UK government, housing numerous key ministries and administrative offices.
|
E16070
|
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: Whitehall | Statement: [Civil Lord of the Admiralty, associatedWith, Whitehall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitehall Context triple: [Civil Lord of the Admiralty, associatedWith, Whitehall]
-
A.
Whitehall
Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
-
B.
Whitehall
Whitehall is a grand Gilded Age mansion in Palm Beach, Florida, built by Henry Flagler and now preserved as the Flagler Museum.
-
C.
Whitehall
Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
-
D.
Whitehall
Whitehall is a small coastal settlement on the Orkney island of Stronsay in Scotland.
-
E.
Whitehall
Whitehall is a primarily residential suburb on the north side of Dublin, Ireland, known for its local schools, churches, and proximity to major routes into the city centre.
- 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: Whitehall Triple: [Civil Lord of the Admiralty, associatedWith, Whitehall]
Generated description
Whitehall is a central district in London that serves as the heart of the UK government, housing numerous key ministries and administrative offices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whitehall Target entity description: Whitehall is a central district in London that serves as the heart of the UK government, housing numerous key ministries and administrative offices.
-
A.
Whitehall
chosen
Whitehall is the central London district that serves as the administrative heart of the United Kingdom, housing many key government departments and ministries.
-
B.
Whitehall
Whitehall is a primarily residential suburb on the north side of Dublin, Ireland, known for its local schools, churches, and proximity to major routes into the city centre.
-
C.
Whitehall
Whitehall is a small coastal settlement on the Orkney island of Stronsay in Scotland.
-
D.
Whitehall
Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
-
E.
Whitehall
Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
- F. None of above.
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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed60d3481909c8144bcb01316a1 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0132efcef8819095dac57351586910 |
completed | May 11, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013357945c8190a293634d8d0399b4 |
completed | May 11, 2026, 1:39 a.m. |
Created at: April 10, 2026, 5:34 a.m.