Triple
T7938030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStack APIs |
E184328
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
Murano API
Murano API is the application programming interface for OpenStack’s application catalog service, enabling deployment and management of complex applications on OpenStack clouds.
|
E699751
|
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: Murano API | Statement: [OpenStack APIs, includes, Murano API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murano API Context triple: [OpenStack APIs, includes, Murano API]
-
A.
The Murano
The Murano is a modern high-rise residential condominium tower in Philadelphia known for its sleek glass facade and upscale urban living.
-
B.
Murano Glass Museum
The Murano Glass Museum is a Venetian institution dedicated to the history, artistry, and craftsmanship of Murano’s world-famous glassmaking tradition.
-
C.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
D.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
E.
Miro
Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
- 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: Murano API Triple: [OpenStack APIs, includes, Murano API]
Generated description
Murano API is the application programming interface for OpenStack’s application catalog service, enabling deployment and management of complex applications on OpenStack clouds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murano API Target entity description: Murano API is the application programming interface for OpenStack’s application catalog service, enabling deployment and management of complex applications on OpenStack clouds.
-
A.
The Murano
The Murano is a modern high-rise residential condominium tower in Philadelphia known for its sleek glass facade and upscale urban living.
-
B.
Murano Glass Museum
The Murano Glass Museum is a Venetian institution dedicated to the history, artistry, and craftsmanship of Murano’s world-famous glassmaking tradition.
-
C.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
D.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
E.
Miro
Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
- 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_69cb5c0a96ac819099ad30fb925eb329 |
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.