Triple
T34484868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress of Estonia |
E885287
|
entity |
| Predicate | electionType |
P539
|
FINISHED |
| Object | nationwide elections based on pre‑war citizenship rolls |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: nationwide elections based on pre‑war citizenship rolls | Statement: [Congress of Estonia, electionType, nationwide elections based on pre‑war citizenship rolls]
Provenance (2 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71cd105648190b86218fcc2d73860 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.