Triple
T1854952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S7 Airlines |
E41680
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
S7
S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
|
E207515
|
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: S7 | Statement: [S7 Airlines, IATAcode, S7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S7 Context triple: [S7 Airlines, IATAcode, S7]
-
A.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
B.
S75
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
-
C.
Siemens S70
The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
-
D.
B7
B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
-
E.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
- 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: S7 Triple: [S7 Airlines, IATAcode, S7]
Generated description
S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S7 Target entity description: S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
-
A.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
B.
S75
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
-
C.
Siemens S70
The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
-
D.
B7
B7 is the seventh-generation version of the Volkswagen Passat, produced in the early 2010s with updated styling, technology, and safety features over its predecessor.
-
E.
S5
S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07d48c48190bcd34d6093ff5e78 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c89bdc8190acf517a7731fa5c7 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add25c9c208190a576cf1123c0a2e6 |
completed | March 8, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add32803a48190b8ff08c605790f22 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:33 p.m.