Triple
T17190757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spathi summit |
E417220
|
entity |
| Predicate | mountainRange |
P648
|
FINISHED |
| Object | Dikti |
E1240015
|
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: Dikti | Statement: [Spathi summit, mountainRange, Dikti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dikti Context triple: [Spathi summit, mountainRange, Dikti]
-
A.
Dikwa
Dikwa is a historic town in northeastern Nigeria that once served as a key political and administrative center of the Borno Empire.
-
B.
Dikwella
Dikwella is a coastal town in southern Sri Lanka known for its beaches and the towering Wewurukannala Vihara Buddha statue.
-
C.
Dikte
chosen
Dikte is a mountainous region on the island of Crete in Greece, traditionally associated with the mythological birthplace of Zeus.
-
D.
Diklo
Diklo is a remote mountain village in Georgia’s historic Tusheti region, known for its traditional stone towers and dramatic Caucasus landscapes.
-
E.
DIK
DIK is the IATA airport code for Dickinson Theodore Roosevelt Regional Airport serving Dickinson, North Dakota.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9983e881909217ec2abe652bde |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd393ac8190afc4c076b6cf60ba |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.