Triple
T15531643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Θεόδωρος Κολοκοτρώνης |
E370230
|
entity |
| Predicate | δραστηριοποιήθηκε_ως_κλέφτης |
P11256
|
FINISHED |
| Object | Πελοπόννησος πριν το 1821 |
—
|
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: Πελοπόννησος πριν το 1821 | Statement: [Θεόδωρος Κολοκοτρώνης, δραστηριοποιήθηκε_ως_κλέφτης, Πελοπόννησος πριν το 1821]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: δραστηριοποιήθηκε_ως_κλέφτης Context triple: [Θεόδωρος Κολοκοτρώνης, δραστηριοποιήθηκε_ως_κλέφτης, Πελοπόννησος πριν το 1821]
-
A.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
B.
committedCrime
chosen
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
C.
stolenBy
Indicates that something has been taken unlawfully or without permission by a particular entity.
-
D.
partnerInCrime
Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
-
E.
notableTheft
Indicates that an entity is involved in a theft event that is widely recognized or significant in some notable way.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.