Triple
T14360608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankland Range |
E356087
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | The Lion |
E479002
|
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: The Lion | Statement: [Frankland Range, hasPeak, The Lion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lion Context triple: [Frankland Range, hasPeak, The Lion]
-
A.
The Lion
The Lion is the nickname of Lennox Lewis, the former undisputed world heavyweight boxing champion from Britain.
-
B.
The Lion
chosen
The Lion is a large, social big cat native to Africa and parts of Asia, renowned for its strength, pride-based groups, and iconic status as a symbol of courage and royalty.
-
C.
Le Lion
Le Lion is a 1958 adventure novel by Joseph Kessel set in Kenya, exploring the bond between a young girl and a wild lion against the backdrop of colonial Africa and Maasai culture.
-
D.
Die Löwen
Die Löwen is the traditional nickname of German football club TSV 1860 Munich, reflecting the lion emblem on the club’s crest and its historic identity.
-
E.
LION
LION is the commonly used acronym for the Leiden Institute of Physics, a research and teaching institute at Leiden University in the Netherlands.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f54bfb08190a27c0d12731acec2 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550ca6b88190b76cd486bdd66fdf |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.