Triple
T19367444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Temple Hall |
E484438
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object |
Halls of London
Halls of London are notable historic and ceremonial buildings in London used for legal, civic, academic, and social functions.
|
E1372238
|
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: Halls of London | Statement: [Inner Temple Hall, category, Halls of London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halls of London Context triple: [Inner Temple Hall, category, Halls of London]
-
A.
London Sanctum
London Sanctum is a mystical stronghold in the Marvel universe that serves as one of the key magical outposts protecting Earth from supernatural threats.
-
B.
Winter Hall
Winter Hall was a New Zealand-born actor of the silent film era who appeared in numerous American films in the 1910s and 1920s.
-
C.
Barbican
Barbican is a historic area in the City of London known for its medieval fortifications and the modern Barbican Estate and arts centre complex.
-
D.
Barbican
The Barbican in Banská Bystrica is a historic fortification structure that once formed part of the town’s medieval defensive system.
-
E.
Barbican
Barbican is a locality within Saint Andrew Parish in Jamaica, known as a primarily residential and commercial neighborhood in the Kingston metropolitan 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: Halls of London Triple: [Inner Temple Hall, category, Halls of London]
Generated description
Halls of London are notable historic and ceremonial buildings in London used for legal, civic, academic, and social functions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halls of London Target entity description: Halls of London are notable historic and ceremonial buildings in London used for legal, civic, academic, and social functions.
-
A.
London Sanctum
London Sanctum is a mystical stronghold in the Marvel universe that serves as one of the key magical outposts protecting Earth from supernatural threats.
-
B.
Winter Hall
Winter Hall was a New Zealand-born actor of the silent film era who appeared in numerous American films in the 1910s and 1920s.
-
C.
Barbican
Barbican is a historic area in the City of London known for its medieval fortifications and the modern Barbican Estate and arts centre complex.
-
D.
Barbican
The Barbican in Banská Bystrica is a historic fortification structure that once formed part of the town’s medieval defensive system.
-
E.
Barbican
Barbican is a locality within Saint Andrew Parish in Jamaica, known as a primarily residential and commercial neighborhood in the Kingston metropolitan area.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619adac8881909136c50351f3683d |
completed | April 20, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07241692fc81909b627d1939165823 |
completed | May 15, 2026, 1:48 p.m. |
| NEDg | Description generation | batch_6a0725e546488190988000d77c961c0f |
completed | May 15, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726a79b308190a584bc808f4b2faa |
completed | May 15, 2026, 1:59 p.m. |
Created at: April 10, 2026, 1:35 p.m.