Triple
T2314123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SETL |
E51023
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
SETLX
SETLX is a modern, open-source programming language designed for teaching and experimenting with set theory and mathematical concepts through executable code.
|
E255546
|
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: SETLX | Statement: [SETL, influenced, SETLX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SETLX Context triple: [SETL, influenced, SETLX]
-
A.
SETL
SETL is a high-level programming language developed in the late 1960s that is notable for its powerful set-theoretic abstractions and influence on later language design.
-
B.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
C.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
D.
LX
LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
-
E.
SETSqx
SETSqx is a hybrid electronic trading service on the London Stock Exchange that combines periodic auctions with continuous quote-driven market making for less liquid securities.
- 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: SETLX Triple: [SETL, influenced, SETLX]
Generated description
SETLX is a modern, open-source programming language designed for teaching and experimenting with set theory and mathematical concepts through executable code.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SETLX Target entity description: SETLX is a modern, open-source programming language designed for teaching and experimenting with set theory and mathematical concepts through executable code.
-
A.
SETL
SETL is a high-level programming language developed in the late 1960s that is notable for its powerful set-theoretic abstractions and influence on later language design.
-
B.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
C.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
-
D.
LX
LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
-
E.
SETSqx
SETSqx is a hybrid electronic trading service on the London Stock Exchange that combines periodic auctions with continuous quote-driven market making for less liquid securities.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61c1ef08190911d5f58c2e91189 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae895f5420819087b403e9772dce9a |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8af65eb88190b17d74e7411967cc |
completed | March 9, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8ba02cec8190917c0e17d3fedb0e |
completed | March 9, 2026, 8:58 a.m. |
Created at: March 4, 2026, 7:49 p.m.