Triple
T16392474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tzoumerka mountains |
E398087
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Syrrako |
E446784
|
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: Syrrako | Statement: [Tzoumerka mountains, hasSettlement, Syrrako]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syrrako Context triple: [Tzoumerka mountains, hasSettlement, Syrrako]
-
A.
Syrrako
chosen
Syrrako is a traditional stone-built mountain village in the Tzoumerka region of Epirus, Greece, known for its well-preserved architecture and dramatic natural setting.
-
B.
Siaro
Siaro is a location in Sweden known as the place where renowned Swedish tenor Jussi Björling died.
-
C.
Sy’rai
Sy’rai is an American singer and songwriter best known as the daughter of R&B star Brandy, with whom she has collaborated on several music projects.
-
D.
Kyela
Kyela is a town and district in southern Tanzania known for its fertile land, rice production, and location near the northern shores of Lake Nyasa.
-
E.
Nebe
Nebe is a German surname most notably associated with Arthur Nebe, a high-ranking Nazi official and SS officer during World War II.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326436ce881909f0f3899b8d931aa |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003573c6d48190979201b9619c5103 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.