Triple
T5448307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tower of London |
E122304
|
entity |
| Predicate | part |
P3120
|
FINISHED |
| Object | Tower Green |
E122301
|
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: Tower Green | Statement: [The Tower of London, part, Tower Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Green Context triple: [The Tower of London, part, Tower Green]
-
A.
Tower Green
chosen
Tower Green is a grassy courtyard within the Tower of London historically known as the site of several high-profile executions, including those of Anne Boleyn and Catherine Howard.
-
B.
Tower Hill
Tower Hill is a London Underground station near the Tower of London that serves as a key interchange point on the network.
-
C.
Tower Hill
Tower Hill is a nearby settlement to Kirkby in England, likely a small village or locality within the surrounding rural area.
-
D.
Coal Hill
Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
-
E.
Mallory Square
Mallory Square is a famous waterfront plaza in Key West, Florida, renowned for its nightly sunset celebrations featuring street performers, vendors, and views over the Gulf of Mexico.
- 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.