Triple
T13581222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swallow's Nest |
E324420
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gaspra |
E62138
|
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: Gaspra | Statement: [Swallow's Nest, near, Gaspra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaspra Context triple: [Swallow's Nest, near, Gaspra]
-
A.
Gaspra
chosen
Gaspra is a seaside resort town on the southern coast of Crimea, known for its mild climate, beaches, and historic landmarks such as the Swallow's Nest castle.
-
B.
Nakhl
Nakhl is a small desert town and administrative center located in Egypt’s North Sinai region, historically serving as a strategic waypoint in the central Sinai Peninsula.
-
C.
Nakhla
Nakhla is a valley near Mecca in the Arabian Peninsula historically known as an important pre-Islamic religious site.
-
D.
Vyartsilya
Vyartsilya is a small urban-type settlement in the Republic of Karelia, Russia, near the border with Finland.
-
E.
Kniphausen
Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbf946c8190ba3d2b87cb11dc9d |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.