Triple
T19938905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnarvon Highway |
E479249
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | St George |
—
|
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: St George | Statement: [Carnarvon Highway, passesThrough, St George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St George Context triple: [Carnarvon Highway, passesThrough, St George]
-
A.
St George
St George is a prominent London-focused residential property developer known for building large-scale urban regeneration and mixed-use schemes.
-
B.
St George
St George is a Christian martyr and legendary dragon-slaying warrior venerated as a patron saint of England and chivalry.
-
C.
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.
-
D.
St. George
chosen
St. George is a rapidly growing city in southwestern Utah known for its warm desert climate, red rock landscapes, and proximity to national parks like Zion.
-
E.
St. Georg
St. Georg is a central district of Hamburg, Germany, known for its cultural diversity, vibrant nightlife, and proximity to the city’s main train station.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a190ac08190b9dc7955c9764a71 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.