Triple
T19028187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koufonisia |
E465665
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Keros |
—
|
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: Keros | Statement: [Koufonisia, hasPart, Keros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keros Context triple: [Koufonisia, hasPart, Keros]
-
A.
Keros
chosen
Keros is a small Aegean island in the Cyclades known as a major Early Bronze Age ritual and archaeological center, especially for its Cycladic figurines and sanctuary remains.
-
B.
Kerium
Kerium is a specialized hair and scalp care product line from La Roche-Posay designed to address issues such as dandruff, sensitivity, and hair thinning.
-
C.
Ker
Ker is a variant form of the surname Kerr, which is of Scottish origin and historically associated with Border Reiver families.
-
D.
Ker
Ker is a figure from Greek mythology personifying violent death and doom, often depicted as a malevolent spirit associated with battlefield slaughter.
-
E.
Kerames
Kerames is a small traditional village on the southern coast of Crete, Greece, known for its scenic setting near unspoiled beaches and rugged landscapes.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73ec9088190a98e214bd56e8622 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.