Triple
T19028279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halki |
E465667
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Emborio |
—
|
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: Emborio | Statement: [Halki, hasCapital, Emborio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emborio Context triple: [Halki, hasCapital, Emborio]
-
A.
Emborio
Emborio is a small coastal village that serves as the main port and one of the primary settlements on the Greek island of Kasos in the Aegean Sea.
-
B.
Emborio
chosen
Emborio is the main harbor village and administrative center of the Greek island of Symi, known for its traditional neoclassical houses and picturesque waterfront.
-
C.
Emborios
Emborios is a small coastal village on the Greek island of Kalymnos, known for its tranquil atmosphere, traditional charm, and scenic bay.
-
D.
Emborios
Emborios is a small traditional village on the Greek island of Nisyros, known for its hillside setting and views over the volcanic landscape.
-
E.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
- 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.