Triple
T17590060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan-Blue Coalition |
E428420
|
entity |
| Predicate | socialPolicyTendency |
P110996
|
FINISHED |
| Object | social conservatism |
—
|
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: social conservatism | Statement: [Pan-Blue Coalition, socialPolicyTendency, social conservatism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialPolicyTendency Context triple: [Pan-Blue Coalition, socialPolicyTendency, social conservatism]
-
A.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
B.
hasSocialPolicy
chosen
Indicates that an entity possesses, adopts, or is governed by a particular social policy.
-
C.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
D.
analyzesPolicyTool
Indicates that one entity examines, evaluates, or studies a policy-related tool or instrument to understand its features, effectiveness, or implications.
-
E.
currentPoliticalTrend
Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e62d5c81909134e30a6d0f2e20 |
completed | April 19, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.