Triple
T1114276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communist Party of Greece |
E11060
|
entity |
| Predicate | electoralSymbol |
P21251
|
FINISHED |
| Object | hammer and sickle with KKE initials |
—
|
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: hammer and sickle with KKE initials | Statement: [Communist Party of Greece, electoralSymbol, hammer and sickle with KKE initials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralSymbol Context triple: [Communist Party of Greece, electoralSymbol, hammer and sickle with KKE initials]
-
A.
electoralSlogan
Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
-
B.
campaignSymbol
chosen
Indicates that something serves as a symbol or emblem representing a particular campaign.
-
C.
electoralPosition
Indicates that an entity holds, has held, or is a candidate for a specific role or office within an electoral or political system.
-
D.
electoralSignificance
Indicates the importance or impact that something has on an election’s outcome, dynamics, or results.
-
E.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.