Triple
T11501262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkia Israeli Airlines |
E272668
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
ARKIA
ARKIA is the callsign of Arkia Israeli Airlines, a major Israeli carrier operating domestic and international flights.
|
E929386
|
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: ARKIA | Statement: [Arkia Israeli Airlines, callsign, ARKIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARKIA Context triple: [Arkia Israeli Airlines, callsign, ARKIA]
-
A.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
-
B.
Arke
Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
-
C.
Arkas
Arkas is a minor character in Euripides’ tragedy "Iphigenia in Tauris," serving as a loyal attendant and adviser within the Taurian royal court.
-
D.
ARCIC
ARCIC is an international ecumenical body that fosters theological dialogue and seeks closer unity between the Anglican Communion and the Roman Catholic Church.
-
E.
Arkesini
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
- 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: ARKIA Triple: [Arkia Israeli Airlines, callsign, ARKIA]
Generated description
ARKIA is the callsign of Arkia Israeli Airlines, a major Israeli carrier operating domestic and international flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ARKIA Target entity description: ARKIA is the callsign of Arkia Israeli Airlines, a major Israeli carrier operating domestic and international flights.
-
A.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
-
B.
Arke
Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
-
C.
Arkas
Arkas is a minor character in Euripides’ tragedy "Iphigenia in Tauris," serving as a loyal attendant and adviser within the Taurian royal court.
-
D.
ARCIC
ARCIC is an international ecumenical body that fosters theological dialogue and seeks closer unity between the Anglican Communion and the Roman Catholic Church.
-
E.
Arkesini
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604bc1d3c81908497f1d19dcc2167 |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a82c308190927158dbd566b0d4 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61853a3b48190b0d132761e9be69c |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.