Triple
T1437221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort St. George |
E30583
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | St. George |
E3419
|
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: St. George | Statement: [Fort St. George, namedAfter, St. George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. George Context triple: [Fort St. George, namedAfter, St. George]
-
A.
St. George
St. George is a waterfront neighborhood on the northeastern tip of Staten Island in New York City, known for its ferry terminal, civic buildings, and views of the Manhattan skyline.
-
B.
St George
chosen
St George is a Christian martyr and legendary dragon-slaying warrior venerated as a patron saint of England and chivalry.
-
C.
Saint George of Lydda
Saint George of Lydda is a Christian martyr and legendary soldier-saint, best known as the dragon-slaying patron saint of England and various other regions.
-
D.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
E.
Godfrey
Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c50418d08190ace2cab98af87f29 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e6e12748190baeb91ba843a716f |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.