Triple
T35957806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estonian national awakening |
E1039915
|
entity |
| Predicate | countryAfterEffect |
P8692
|
FINISHED |
| Object | Republic of Estonia |
E22105
|
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: Republic of Estonia | Statement: [Estonian national awakening, countryAfterEffect, Republic of Estonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryAfterEffect Context triple: [Estonian national awakening, countryAfterEffect, Republic of Estonia]
-
A.
countryAfterReplacement
Indicates that one country takes the place of another as a successor or replacement in a given context or role.
-
B.
countryAfterIntegration
Indicates the country that exists as a result of, or following, an integration or unification process involving another entity.
-
C.
affectedCountry
chosen
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
D.
countryAfterConflict
Indicates that one country exists in a post-conflict state or status relative to a specified conflict or warring situation.
-
E.
countryAfterReform
Indicates that one country entity represents the state of that country after a specified reform or transformation has taken place.
- F. None of above.
Provenance (4 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a021f84715881908e25b6548e7cf62e |
completed | May 11, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38b6eb8cb481909b5b3658a3229995 |
completed | June 22, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_6a021739b7288190a4ca94c04074c78a |
completed | May 11, 2026, 5:51 p.m. |
Created at: May 3, 2026, 4:07 p.m.