Triple
T15512180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saamelaiskäräjät |
E368737
|
entity |
| Predicate | locatedInBuilding |
P40
|
FINISHED |
| Object | Sajos |
E1030370
|
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: Sajos | Statement: [Saamelaiskäräjät, locatedInBuilding, Sajos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sajos Context triple: [Saamelaiskäräjät, locatedInBuilding, Sajos]
-
A.
Sajos
chosen
Sajos is the main cultural and administrative center of the Sámi people in Finland, housing the Sámi Parliament and related institutions in Inari.
-
B.
Ujados
Ujados is a small rural village located in the Sierra Norte de Guadalajara region of central Spain.
-
C.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
-
D.
Sasad
Sasad is a primarily residential neighborhood in Budapest known for its green, hilly surroundings and relatively quiet, suburban character.
-
E.
Sahurs
Sahurs is a small commune in northern France, situated along the Seine River in the Normandy region.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04030c0208190a1931ea130075603 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3671a4448190b81edae6ff2669a7 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 4 a.m.