Triple
T339127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 Soviet legislative election |
E6793
|
entity |
| Predicate | degreeOfCompetitiveness |
P746
|
FINISHED |
| Object | partially free |
—
|
LITERAL 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: partially free | Statement: [1989 Soviet legislative election, degreeOfCompetitiveness, partially free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfCompetitiveness Context triple: [1989 Soviet legislative election, degreeOfCompetitiveness, partially free]
-
A.
levelOfCompetition
Indicates the intensity or degree of competitive pressure present in a given context or interaction.
-
B.
competitionLevel
chosen
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
C.
primaryCompetition
Indicates that one entity is the main or most significant competitor of another within a given market, domain, or context.
-
D.
competesWith
Indicates that two entities are in rivalry or opposition, each striving to outperform or gain advantage over the other in the same domain or objective.
-
E.
competition
Indicates a relationship where two or more entities strive against each other to achieve a superior outcome, advantage, or reward.
- F. None of above.
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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae3a27c81909fc7deb600125fb1 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95067e88190a914a1c1d0283dfc |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.