Triple
T17557412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python packaging ecosystem |
E427621
|
entity |
| Predicate | includesTool |
P1393
|
FINISHED |
| Object |
flit
flit is a lightweight Python packaging tool that simplifies building and publishing Python modules and packages to repositories like PyPI.
|
E1275196
|
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: flit | Statement: [Python packaging ecosystem, includesTool, flit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: flit Context triple: [Python packaging ecosystem, includesTool, flit]
-
A.
Flipt
Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
-
B.
Flick
Flick is one of the basic movement actions in Laban effort theory, characterized by quick, light, and sudden motion.
-
C.
Flick
Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
-
D.
flynas
flynas is a Saudi low-cost airline based in Riyadh that operates domestic and international flights across the Middle East, Asia, and Europe.
-
E.
Flack
Flack is a darkly comedic British drama series about a sharp-tongued American PR executive in London who cleans up celebrity scandals while her own life unravels.
- 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: flit Triple: [Python packaging ecosystem, includesTool, flit]
Generated description
flit is a lightweight Python packaging tool that simplifies building and publishing Python modules and packages to repositories like PyPI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: flit Target entity description: flit is a lightweight Python packaging tool that simplifies building and publishing Python modules and packages to repositories like PyPI.
-
A.
Flipt
Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
-
B.
Flick
Flick is one of the basic movement actions in Laban effort theory, characterized by quick, light, and sudden motion.
-
C.
Flick
Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
-
D.
flynas
flynas is a Saudi low-cost airline based in Riyadh that operates domestic and international flights across the Middle East, Asia, and Europe.
-
E.
Flack
Flack is a darkly comedic British drama series about a sharp-tongued American PR executive in London who cleans up celebrity scandals while her own life unravels.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d2948ae0819083b90516b11d2485 |
completed | May 11, 2026, 12:59 p.m. |
| NEDg | Description generation | batch_6a01d43430d481909b07d8ecc09a185f |
completed | May 11, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d4c609fc819089147744317d4be3 |
completed | May 11, 2026, 1:08 p.m. |
Created at: April 10, 2026, 5:50 a.m.