Triple
T4718242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek islands |
E104699
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lipsi |
E121403
|
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: Lipsi | Statement: [Greek islands, hasPart, Lipsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipsi Context triple: [Greek islands, hasPart, Lipsi]
-
A.
Lipsi
chosen
Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
-
B.
Pulastya
Pulastya is one of the seven great sages (Saptarishi) in Hindu tradition, revered as a mind-born son of Brahma and an important progenitor in various mythological lineages.
-
C.
Lipski
Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
-
D.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
-
E.
Lapseki
Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64261af08190b0d5d86b0e7bacc0 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108bc0048190aeea8674f75105e5 |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.