Triple
T6430881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kommounistiki Epitheorisi |
E128173
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
KE
KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
|
E591807
|
NE FINISHED |
How this triple was built (4 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: KE | Statement: [Kommounistiki Epitheorisi, hasAbbreviation, KE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KE Context triple: [Kommounistiki Epitheorisi, hasAbbreviation, KE]
-
A.
KE
KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
-
B.
KE
KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
-
C.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
-
D.
Ke
Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
-
E.
KER
KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KE Triple: [Kommounistiki Epitheorisi, hasAbbreviation, KE]
Generated description
KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KE Target entity description: KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
-
A.
KE
KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
-
B.
KE
KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
-
C.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
-
D.
Ke
Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
-
E.
KER
KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
- F. None of above. chosen
Provenance (5 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693b872c819082a7d0e257018831 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e9ae8481909229bcf6d5e793d3 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c641ff05c08190ab9526b095b038fa |
completed | March 27, 2026, 8:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c642a344e48190bccb0f0d122fca4c |
completed | March 27, 2026, 8:41 a.m. |
Created at: March 22, 2026, 4:44 p.m.