Triple
T37447500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiuggi Congress 1995 |
E930586
|
entity |
| Predicate | politicalSpectrumBefore |
P15842
|
FINISHED |
| Object | far-right |
—
|
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: far-right | Statement: [Fiuggi Congress 1995, politicalSpectrumBefore, far-right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalSpectrumBefore Context triple: [Fiuggi Congress 1995, politicalSpectrumBefore, far-right]
-
A.
politicalSpectrumPosition
Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
-
B.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
C.
politicalPrecursorOf
Indicates that one political entity, movement, or event served as a significant antecedent or foundation that influenced or led to the development of another.
-
D.
politicalStatusBefore
Indicates the political status or condition an entity held prior to a specified event, change, or reference point.
-
E.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 3, 2026, 4:17 p.m.