Triple
T21347105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great West Road |
E526367
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Golden Mile |
—
|
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: Golden Mile | Statement: [Great West Road, hasSection, Golden Mile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Mile Context triple: [Great West Road, hasSection, Golden Mile]
-
A.
Golden Mile
The Golden Mile is a famous seafront stretch in Great Yarmouth renowned for its amusement arcades, attractions, and traditional British seaside entertainment.
-
B.
Golden Mile
Golden Mile is a famously rich gold-bearing ore deposit in Kalgoorlie, Western Australia, historically one of the world’s largest and most productive goldfields.
-
C.
Golden Mile
Golden Mile is a famous stretch of Nathan Road in Hong Kong known for its dense concentration of shops, neon signs, and bustling nightlife.
-
D.
Golden Mile
chosen
Golden Mile is a notable stretch of the Great West Road in West London famed for its concentration of Art Deco industrial buildings and former factories.
-
E.
Golden Mile
Golden Mile is the principal financial district of San Juan, Puerto Rico, known for its concentration of major banks and corporate headquarters.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba8f1c8819089c5d753876b44d5 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 4:56 p.m.