Triple
T4325841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mod_wsgi |
E96631
|
entity |
| Predicate | supportsDeploymentOf |
P19206
|
FINISHED |
| Object |
Bottle
Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
|
E430994
|
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: Bottle | Statement: [mod_wsgi, supportsDeploymentOf, Bottle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bottle Context triple: [mod_wsgi, supportsDeploymentOf, Bottle]
-
A.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
B.
Bottle Works
Bottle Works is an interactive exhibit at the World of Coca-Cola that showcases the bottling process and production of Coca-Cola beverages.
-
C.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
D.
Potin
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
-
E.
Dime Bag
"Dime Bag" is a solo project by rapper Styles P that showcases his gritty lyricism and street-focused storytelling over hard-hitting, minimalist production.
- 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: Bottle Triple: [mod_wsgi, supportsDeploymentOf, Bottle]
Generated description
Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bottle Target entity description: Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
-
A.
Jug
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
B.
Bottle Works
Bottle Works is an interactive exhibit at the World of Coca-Cola that showcases the bottling process and production of Coca-Cola beverages.
-
C.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
D.
Potin
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
-
E.
Dime Bag
"Dime Bag" is a solo project by rapper Styles P that showcases his gritty lyricism and street-focused storytelling over hard-hitting, minimalist production.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3563eab24819088add9180af2ce3c |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09861a4819086a88bb42a8ea2e4 |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d11a30a08190b9f58fadd2415559 |
completed | March 14, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d194975481908b029ab106223c6c |
completed | March 14, 2026, 9:22 p.m. |
Created at: March 12, 2026, 11:13 p.m.