Triple
T28914557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libertà, Odio, Vendetta, Eternità |
E733320
|
entity |
| Predicate | translatedWord4 |
P192980
|
FINISHED |
| Object | Eternity |
—
|
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: Eternity | Statement: [Libertà, Odio, Vendetta, Eternità, translatedWord4, Eternity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedWord4 Context triple: [Libertà, Odio, Vendetta, Eternità, translatedWord4, Eternity]
-
A.
word4
Indicates that one entity is the fourth word in sequence relative to another entity or within a specified context.
-
B.
scoreMeaning_4
Indicates that an entity’s score has a meaning or interpretation corresponding to level 4 on a defined scoring or rating scale.
-
C.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
-
D.
hasFourthWordOfExpandedForm
Indicates that one entity is the fourth word in the fully expanded (non-abbreviated) form of another entity.
-
E.
translatedSection
Indicates that one text section is a translation of another corresponding section in a different language or version.
- F. None of above. chosen
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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: April 28, 2026, 8:13 a.m.