Triple
T13728717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Κανὰ |
E329733
|
entity |
| Predicate | GreekNameOf |
P3659
|
FINISHED |
| Object | Cana |
E65098
|
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: Cana | Statement: [Κανὰ, GreekNameOf, Cana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cana Context triple: [Κανὰ, GreekNameOf, Cana]
-
A.
Cana
chosen
Cana is a small town in the region of Galilee, traditionally known in Christian tradition as the site where Jesus performed his first miracle of turning water into wine.
-
B.
Caana
Caana is the largest and most prominent pyramid complex at the ancient Maya city of Caracol in Belize, notable for its towering height and elaborate palatial structures.
-
C.
Esla
The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
-
D.
Maritta
Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
-
E.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.