Triple
T16913953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suomenlinna islands |
E410273
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lonna |
E746170
|
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: Lonna | Statement: [Suomenlinna islands, hasPart, Lonna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonna Context triple: [Suomenlinna islands, hasPart, Lonna]
-
A.
Lonna
chosen
Lonna is a small island near central Helsinki known for its historic military structures, public sauna, and seaside recreation.
-
B.
Londa
Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
-
C.
Lyonne
Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
-
D.
Lynna
Lynna is a feminine given name, typically considered a variant of Lynn or Lynne.
-
E.
Alonnah
Alonnah is a small coastal township on Bruny Island in Tasmania, Australia, serving as one of the island’s main settlements and service centers.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3f1a2c8190a512ccc09a080eb4 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.