Triple
T7635794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Finland |
E172874
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Salo |
E116439
|
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: Salo | Statement: [Southern Finland, contains, Salo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salo Context triple: [Southern Finland, contains, Salo]
-
A.
Salo
chosen
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
B.
Zeruah
Zeruah is a woman mentioned in the Hebrew Bible as the mother of Jeroboam I, the first king of the northern kingdom of Israel.
-
C.
Jambon
Jambon is a surname most notably associated with Belgian politician Jan Jambon.
-
D.
Frikat
Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
-
E.
Cârnic
Cârnic is a mountain access point and trailhead settlement commonly used as a gateway into Romania’s Retezat National Park.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa95e488190962c23609e0890a5 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870c33ce081908df916d769fa84be |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:57 p.m.