Triple
T3471017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambeth |
E73257
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | County Hall |
E59704
|
NE FINISHED |
How this triple was built (2 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: County Hall | Statement: [Lambeth, contains, County Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County Hall Context triple: [Lambeth, contains, County Hall]
-
A.
County Hall
chosen
County Hall is a large historic building on the South Bank of the River Thames in London, formerly the headquarters of the London County Council and now home to hotels, attractions, and offices.
-
B.
Kensington Town Hall
Kensington Town Hall is a prominent municipal building and civic venue in the London district of Kensington, used for local government functions and public events.
-
C.
Chelsea City Hall
Chelsea City Hall is the primary municipal government building serving the city of Chelsea, Alabama.
-
D.
Street Hall
Street Hall is a historic Yale University building that houses part of the Yale University Art Gallery’s collections and exhibition spaces.
-
E.
Guildhall
Guildhall is the historic ceremonial and administrative center of the City of London, long serving as the seat of its municipal government and livery companies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3af0cc81909e575828caeaeae0 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680dd2c48190a06c5c320a06a71a |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.