Triple
T13381831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nóos case |
E319335
|
entity |
| Predicate | sentenceDate |
P31778
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Nóos case, sentenceDate, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentenceDate Context triple: [Nóos case, sentenceDate, 2017]
-
A.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
-
B.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
-
C.
sentencedOn
Indicates that a judicial authority has formally imposed a legal sentence or punishment on an entity on a specific date.
-
D.
dateOfSentence
chosen
Indicates the specific calendar date on which a formal sentence (such as a legal or judicial decision) is issued or pronounced.
-
E.
titleDate
Indicates the date associated with a title, such as when it was granted, recorded, or became effective.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.