Triple
T21050436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livadia (Tilos) |
E518564
|
entity |
| Predicate | isMainPortOf |
P2745
|
FINISHED |
| Object | Tilos |
—
|
NE NERFINISHED |
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: Tilos | Statement: [Livadia (Tilos), isMainPortOf, Tilos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilos Context triple: [Livadia (Tilos), isMainPortOf, Tilos]
-
A.
Tilos
chosen
Tilos is a small Greek island in the southeastern Aegean Sea, known for its unspoiled nature, rich biodiversity, and tranquil, less-touristed atmosphere.
-
B.
Tilaurakot
Tilaurakot is an ancient archaeological site in Nepal widely regarded as the probable location of Kapilavastu, the childhood home of Siddhartha Gautama (the Buddha).
-
C.
Tiler
Tiler is the first name of Tiler Peck, a renowned American ballet dancer and principal with the New York City Ballet.
-
D.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
-
E.
Tilo
Tilo is a central, enigmatic figure in Arundhati Roy’s novel "The Ministry of Utmost Happiness," whose complex personal history and relationships anchor much of the book’s emotional and political narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7a5cf48190939aefaa44db1ddb |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:35 p.m.