Triple
T5912051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarine |
E131485
|
entity |
| Predicate | nameInGerman |
P22792
|
FINISHED |
| Object | Saane |
E230596
|
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: Saane | Statement: [Sarine, nameInGerman, Saane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saane Context triple: [Sarine, nameInGerman, Saane]
-
A.
Sanem
Sanem is a commune and town in southwestern Luxembourg known for its historic castle and proximity to the industrial city of Esch-sur-Alzette.
-
B.
Sanahin
Sanahin is a historic village and monastic complex in northern Armenia, renowned for its medieval architecture and cultural significance.
-
C.
Singine
chosen
Singine is a river in western Switzerland that flows through the canton of Fribourg and serves as part of the linguistic boundary between French- and German-speaking regions.
-
D.
Noatun
Noatun is the seaside home of the Norse sea god Njord, often depicted as a peaceful, ship-filled haven by the water.
-
E.
Käina
Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b6f48c8190b60a32e5f64fe254 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c015b90081909777ac5ed80e927c |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:59 p.m.