Triple
T13044946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabat Spit road |
E327293
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Arabat Spit |
E327294
|
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: Arabat Spit | Statement: [Arabat Spit road, locatedOn, Arabat Spit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arabat Spit Context triple: [Arabat Spit road, locatedOn, Arabat Spit]
-
A.
Arabat Spit
chosen
Arabat Spit is a long, narrow sandbar in the Sea of Azov, separating the Syvash lagoon from the open sea and forming one of the world’s longest spits.
-
B.
Jibei sand spit
Jibei sand spit is a long, scenic stretch of white sand and clear blue water in Taiwan’s Penghu archipelago, popular for beach activities and water sports.
-
C.
Limantour Spit
Limantour Spit is a narrow sand spit on the Point Reyes National Seashore in California, known for its scenic beaches, dunes, and rich coastal wildlife habitat.
-
D.
Yeysk Spit
Yeysk Spit is a narrow sandy peninsula on the coast of the Sea of Azov in southern Russia, known for its beaches and recreational areas near the town of Yeysk.
-
E.
Jaheel Island
Jaheel Island is a small island located within Algoa Bay on the southeastern coast of South Africa.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98050157c8190bb8c640b759ac2b7 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd720248190a23a07dadc7e1348 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:56 p.m.