Triple
T34650765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Πύρρος |
E889829
|
entity |
| Predicate | συμμετείχεΣεΠόλεμο |
P13112
|
FINISHED |
| Object | Πυρρικός Πόλεμος |
—
|
NE NERFINISHED |
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: Πυρρικός Πόλεμος | Statement: [Πύρρος, συμμετείχεΣεΠόλεμο, Πυρρικός Πόλεμος]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: συμμετείχεΣεΠόλεμο Context triple: [Πύρρος, συμμετείχεΣεΠόλεμο, Πυρρικός Πόλεμος]
-
A.
warParticipatedIn
chosen
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
-
B.
battleParticipated
Indicates that an entity took part in a specific battle as a combatant or participant.
-
C.
foughtAs
Indicates that an entity participated in a conflict or war in the capacity, role, or identity specified by another entity.
-
D.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
E.
capturedInWar
Indicates that one entity was taken prisoner or seized by another entity as a result of armed conflict or wartime actions.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722c27e1c819098f67081bc0764b3 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.