Triple
T18149777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heavy Soul |
E434474
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Golden Sands |
—
|
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 Sands | Statement: [Heavy Soul, hasPart, Golden Sands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Sands Context triple: [Heavy Soul, hasPart, Golden Sands]
-
A.
Golden Sands
chosen
Golden Sands is a major Black Sea coastal resort in Bulgaria, renowned for its long sandy beaches, warm climate, and vibrant tourist infrastructure near the city of Varna.
-
B.
Sunny Sands
Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
-
C.
Arabian Sands
Arabian Sands is a classic travel memoir by Wilfred Thesiger recounting his arduous mid-20th-century journeys across the Empty Quarter of the Arabian Peninsula and the vanishing Bedouin way of life.
-
D.
Sea of Sand
The Sea of Sand is a vast, otherworldly volcanic sand plain surrounding Mount Bromo in East Java, Indonesia, renowned for its stark, lunar-like landscape.
-
E.
Silver Sands
Silver Sands is a popular sandy beach near Aberdour in Fife, Scotland, known for its scenic coastal views and recreational facilities.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de372e8081908b52fe33c870716e |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.