Triple
T14515155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Way |
E340497
|
entity |
| Predicate | helpedRaiseProfileOf |
P104827
|
FINISHED |
| Object | Nav |
E68072
|
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: Nav | Statement: [Some Way, helpedRaiseProfileOf, Nav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nav Context triple: [Some Way, helpedRaiseProfileOf, Nav]
-
A.
Nav
Nav is the underworld or realm of the dead in Slavic mythology, often associated with spirits and the afterlife.
-
B.
Nav
chosen
Nav is a Canadian rapper, singer, songwriter, and record producer known for his melodic trap sound and collaborations with prominent hip-hop artists.
-
C.
NAV
NAV is the stock ticker symbol for Navistar International Corporation, an American manufacturer of commercial trucks, buses, and diesel engines.
-
D.
NAV
NAV is Norway’s public agency responsible for administering social security, welfare benefits, and employment services.
-
E.
Don Navigation
Don Navigation is a canalised section of the River Don in South Yorkshire, England, forming part of the region’s historic inland waterway network for commercial and leisure boating.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a2fc048190b68d3267fe17471b |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:21 a.m.