Triple
T21121203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower of London moat |
E520434
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Tower Hill |
—
|
NE NERFINISHED |
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 Hill | Statement: [Tower of London moat, adjacentTo, Tower Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Hill Context triple: [Tower of London moat, adjacentTo, Tower Hill]
-
A.
Tower Hill
chosen
Tower Hill is a London Underground station near the Tower of London that serves as a key interchange point on the network.
-
B.
Tower Hill
Tower Hill is a nearby settlement to Kirkby in England, likely a small village or locality within the surrounding rural area.
-
C.
Tower Hill
Tower Hill is a strategically significant elevation that served as a key defensive position during the World War II Battle of Tannenberg Line in Estonia.
-
D.
Tower Hill
Tower Hill is a small village in northern Belize known for its proximity to the New River and its role as a local agricultural and transportation hub in the Orange Walk District.
-
E.
Tower Green
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e722348fe08190a1f079b7b0b5dd14 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:55 p.m.