Triple
T19028290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halki |
E465667
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Chorio |
—
|
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: Chorio | Statement: [Halki, hasSettlement, Chorio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chorio Context triple: [Halki, hasSettlement, Chorio]
-
A.
Chorio
chosen
Chorio is the main village and traditional administrative center of the Greek island of Chalki in the Dodecanese.
-
B.
Chorio
Chorio is the main traditional village and historic capital of the Greek island of Symi, known for its neoclassical architecture and hillside setting above the harbor.
-
C.
Chelva
Chelva is a historic municipality in the province of Valencia, Spain, known for its scenic river landscapes, traditional architecture, and cultural heritage.
-
D.
Chorin
Chorin is a small village in northeastern Germany known for its medieval Cistercian monastery and scenic natural surroundings.
-
E.
Chorin
Chorin is the surname of Alexandre J. Chorin, a prominent mathematician known for his contributions to computational fluid dynamics and numerical analysis.
- 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.