Triple
T1630913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Registration |
E35253
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Diamonds from Sierra Leone |
E65300
|
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: Diamonds from Sierra Leone | Statement: [Late Registration, hasTrack, Diamonds from Sierra Leone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diamonds from Sierra Leone Context triple: [Late Registration, hasTrack, Diamonds from Sierra Leone]
-
A.
Diamonds from Sierra Leone
chosen
"Diamonds from Sierra Leone" is a Kanye West song that samples the James Bond theme "Diamonds Are Forever" and critiques conflict diamonds and consumerism.
-
B.
Diamonds
"Diamonds" is a 2012 pop and R&B ballad by Rihanna that became one of her signature global hit singles.
-
C.
Emeralds
Emeralds are precious green gemstones, a variety of the mineral beryl colored by trace amounts of chromium or vanadium, highly valued in jewelry for their rich hue and rarity.
-
D.
Africa Rocks
Africa Rocks is a themed exhibit at the San Diego Zoo that showcases the diverse wildlife and habitats found across the African continent.
-
E.
Quartz Africa
Quartz Africa is a regional edition of the digital news outlet Quartz that focuses on business, technology, and innovation stories from across the African continent.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f5ae98819091ce5e00eb4256a2 |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d79bc88190bfc62f53dd8e8b90 |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.