Triple
T1552649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swallow’s Nest |
E33127
|
entity |
| Predicate | locatedIn |
P40
|
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, locatedIn, Gaspra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaspra Context triple: [Swallow’s Nest, locatedIn, 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.
Komet
Komet was the nickname of the Messerschmitt Me 163, a German World War II rocket-powered interceptor aircraft known for its extraordinary speed and unconventional design.
-
C.
Adrestia
Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
-
D.
Alliluyeva
Alliluyeva is a Russian surname most notably borne by Nadezhda Alliluyeva, the second wife of Soviet leader Joseph Stalin.
-
E.
Lutetia
Lutetia was the ancient Roman-era settlement on the site of modern-day Paris, serving as a key urban center in the region of Gaul.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9086aed94819085c8194b4127c278 |
completed | March 5, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad30a504a881909b01fc27e0b879e7 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:26 p.m.