Triple
T28914553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libertà, Odio, Vendetta, Eternità |
E733320
|
entity |
| Predicate | word4 |
P165522
|
FINISHED |
| Object | Eternità |
—
|
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: Eternità | Statement: [Libertà, Odio, Vendetta, Eternità, word4, Eternità]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: word4 Context triple: [Libertà, Odio, Vendetta, Eternità, word4, Eternità]
-
A.
word1
Indicates that there is a first word in a sequence or pair that participates in the specified relationship.
-
B.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
C.
exampleWord
Indicates that one entity serves as an illustrative or representative instance of another entity or concept.
-
D.
wordDefinition
Indicates that one entity provides the meaning or explanation of a word represented by the other entity.
-
E.
meaningOfWord3
Indicates that one entity specifies or defines the sense or interpretation of a third word or term.
- 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_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 8:13 a.m.