Triple
T5838752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSGI |
E129539
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Bottle |
E430994
|
NE FINISHED |
How this triple was built (2 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: [WSGI, usedBy, Bottle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bottle Context triple: [WSGI, usedBy, Bottle]
-
A.
Bottle
chosen
Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
-
B.
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.
-
C.
Bottle of Wine
"Bottle of Wine" is a folk song written and popularized by American singer-songwriter Tom Paxton, known for its catchy chorus and numerous cover versions.
-
D.
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.
-
E.
Bottidda
Bottidda is a small municipality in the historical Logudoro region of central-northern Sardinia, Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034a66c448190a6ea7f9827cbffe9 |
completed | March 22, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a19a6554819086cdae499f4d2247 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:54 p.m.