Triple
T15132178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firebase |
E361445
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object |
Swift
Swift is a modern, type-safe, and fast programming language developed by Apple for building applications across its platforms, including iOS, macOS, watchOS, and tvOS.
|
E17651
|
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: Swift | Statement: [Firebase, supportsLanguage, Swift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swift Context triple: [Firebase, supportsLanguage, Swift]
-
A.
Swift
Swift is a NASA space telescope mission dedicated to detecting and rapidly observing gamma-ray bursts and other high-energy astrophysical phenomena.
-
B.
Swift
Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
-
C.
Swift
Swift is OpenStack’s distributed object storage system designed for scalable, fault-tolerant storage and retrieval of large amounts of unstructured data.
-
D.
Swift
Swift is the OpenStack object storage system designed for scalable, redundant, and distributed storage of large amounts of unstructured data.
-
E.
Swift
Swift is a British single-seat fighter aircraft developed in the early Cold War era, known for its swept-wing design and service with the Royal Air Force.
- 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: Swift Triple: [Firebase, supportsLanguage, Swift]
Generated description
Swift is a modern, type-safe, and fast programming language developed by Apple for building applications across its platforms, including iOS, macOS, watchOS, and tvOS.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swift Target entity description: Swift is a modern, type-safe, and fast programming language developed by Apple for building applications across its platforms, including iOS, macOS, watchOS, and tvOS.
-
A.
Swift
chosen
Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
-
B.
Swift
Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
-
C.
Swift
Swift is the OpenStack object storage system designed for scalable, redundant, and distributed storage of large amounts of unstructured data.
-
D.
Swift
Swift is a British single-seat fighter aircraft developed in the early Cold War era, known for its swept-wing design and service with the Royal Air Force.
-
E.
Swift
Swift is OpenStack’s distributed object storage system designed for scalable, fault-tolerant storage and retrieval of large amounts of unstructured data.
- F. None of above.
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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69febbfb58608190830eca7f9a78fc9c |
completed | May 9, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febc842a7081908a85ba2833212650 |
completed | May 9, 2026, 4:48 a.m. |
Created at: April 10, 2026, 3:06 a.m.