Triple
T15288698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofades |
E365470
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Sofades |
E365470
|
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: Sofades | Statement: [Sofades, hasMunicipalSeat, Sofades]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofades Context triple: [Sofades, hasMunicipalSeat, Sofades]
-
A.
Sofades
chosen
Sofades is a town and municipality in central Greece, located in the Thessaly region within the Karditsa regional unit.
-
B.
Sofy
Sofy is a software testing platform that provides no-code, AI-driven tools for automated mobile and web app testing.
-
C.
Ein Sof
Ein Sof is the Kabbalistic term for the infinite, unknowable aspect of God that precedes and transcends all creation and manifestation.
-
D.
Betton
Betton is a commune in the Ille-et-Vilaine department of Brittany in northwestern France, situated just north of the city of Rennes.
-
E.
Sillas
Sillas is a surname most notably associated with American actress Karen Sillas, known for her work in independent film and television.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.