Triple
T5448305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tower of London |
E122304
|
entity |
| Predicate | part |
P3120
|
FINISHED |
| Object | Inner Ward |
E117903
|
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: Inner Ward | Statement: [The Tower of London, part, Inner Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inner Ward Context triple: [The Tower of London, part, Inner Ward]
-
A.
Inner Ward
chosen
The Inner Ward is the central fortified enclosure of the Tower of London, containing many of its principal historic buildings and serving as the core of the medieval castle complex.
-
B.
Coal Hill
Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
-
C.
Gipsy Hill
Gipsy Hill is a residential district in south London known for its hilly streets, Victorian housing, and views across the city.
-
D.
Bloomsbury ward
Bloomsbury ward is an electoral ward in the London Borough of Camden, covering much of the historic Bloomsbury area known for its universities, cultural institutions, and literary heritage.
-
E.
Somers Town
Somers Town is a historically working-class, culturally diverse district in central London located between Euston and St Pancras stations.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dbfd948190977513cf274af417 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4883bfec8190bb09fff99d017111 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:07 p.m.