Triple
T5012772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Caspian |
E112664
|
entity |
| Predicate | containsFeature |
P182
|
FINISHED |
| Object | Apsheron Sill |
E261678
|
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: Apsheron Sill | Statement: [Middle Caspian, containsFeature, Apsheron Sill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apsheron Sill Context triple: [Middle Caspian, containsFeature, Apsheron Sill]
-
A.
Absheron Peninsula
chosen
The Absheron Peninsula is a prominent landform in eastern Azerbaijan that juts into the Caspian Sea and includes the capital city, Baku.
-
B.
Konevets Island
Konevets Island is a small island in Russia’s Lake Ladoga best known for its historic Orthodox monastery and secluded natural setting.
-
C.
Gezira Island
Gezira Island is a large Nile island in central Cairo known for its upscale Zamalek district, cultural venues, and landmarks such as the Cairo Tower.
-
D.
Avşa Island
Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
-
E.
Admiralteysky Island
Admiralteysky Island is a historic river island in central Saint Petersburg, Russia, known as a core part of the city’s early development and administrative center.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730f12a481908a27c15dc73987c6 |
completed | March 20, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c5b09688190a0bc602396042e3f |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:35 p.m.