Triple
T8887630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehall Monitor |
E211573
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Whitehall
Whitehall is the central district in London that serves as the hub of the United Kingdom’s government departments and civil service administration.
|
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: [Whitehall Monitor, associatedWith, Whitehall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitehall Context triple: [Whitehall Monitor, 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 the central London district that serves as the administrative heart of the United Kingdom, housing many key government departments and ministries.
-
E.
Pentagon Row
Pentagon Row is a mixed-use shopping, dining, and residential complex in Arlington, Virginia, known for its outdoor plaza and seasonal ice skating rink near the Pentagon City area.
- 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: [Whitehall Monitor, associatedWith, Whitehall]
Generated description
Whitehall is the central district in London that serves as the hub of the United Kingdom’s government departments and civil service administration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whitehall Target entity description: Whitehall is the central district in London that serves as the hub of the United Kingdom’s government departments and civil service administration.
-
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 small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
-
C.
Whitehall
Whitehall is a grand Gilded Age mansion in Palm Beach, Florida, built by Henry Flagler and now preserved as the Flagler Museum.
-
D.
Whitehall
Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
-
E.
Pentagon Row
Pentagon Row is a mixed-use shopping, dining, and residential complex in Arlington, Virginia, known for its outdoor plaza and seasonal ice skating rink near the Pentagon City area.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618e58d08190be3ebcbe3701b1db |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabe17c78819087e74618ac49a214 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.