Triple
T7938702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulp |
E184340
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Pulp API
Pulp API is the RESTful interface of the Pulp content management and distribution platform, enabling programmatic management of software repositories and content.
|
E699789
|
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: Pulp API | Statement: [Pulp, hasComponent, Pulp API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pulp API Context triple: [Pulp, hasComponent, Pulp API]
-
A.
Poplar SDK
Poplar SDK is Graphcore’s specialized software toolkit designed to program and optimize machine learning workloads on its Intelligence Processing Unit (IPU) hardware.
-
B.
PULSE network
PULSE network is a major U.S. electronic funds transfer and debit payment network widely used for ATM and point-of-sale transactions.
-
C.
PUS
PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
-
D.
Pallets Projects
Pallets Projects is an open-source organization best known for creating and maintaining the Flask web framework and related Python tooling.
-
E.
PAP
PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
- 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: Pulp API Triple: [Pulp, hasComponent, Pulp API]
Generated description
Pulp API is the RESTful interface of the Pulp content management and distribution platform, enabling programmatic management of software repositories and content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pulp API Target entity description: Pulp API is the RESTful interface of the Pulp content management and distribution platform, enabling programmatic management of software repositories and content.
-
A.
Poplar SDK
Poplar SDK is Graphcore’s specialized software toolkit designed to program and optimize machine learning workloads on its Intelligence Processing Unit (IPU) hardware.
-
B.
PULSE network
PULSE network is a major U.S. electronic funds transfer and debit payment network widely used for ATM and point-of-sale transactions.
-
C.
PUS
PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
-
D.
Pallets Projects
Pallets Projects is an open-source organization best known for creating and maintaining the Flask web framework and related Python tooling.
-
E.
PAP
PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3af0a2048190838d1aeda59fda0b |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0e868481908748d340244ea8ea |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb7634f4dc8190b5e537f24bccd651 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb67e77a48190b93c6ba61becfac4 |
completed | March 31, 2026, 11:56 a.m. |
Created at: March 30, 2026, 5:08 p.m.