Triple
T7939240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Container Storage Interface |
E184351
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Mesos
Mesos is an open-source cluster manager that abstracts CPU, memory, and other resources across distributed systems to efficiently run and scale applications and frameworks.
|
E699822
|
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: Mesos | Statement: [Container Storage Interface, usedBy, Mesos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mesos Context triple: [Container Storage Interface, usedBy, Mesos]
-
A.
Telos
Telos is an icy, subterranean planet in the Doctor Who universe best known as a major stronghold and tomb world of the Cybermen.
-
B.
Nomada
Nomada is a large genus of cleptoparasitic “cuckoo bees” known for laying their eggs in the nests of other solitary bees.
-
C.
Mesaoria
Mesaoria is the central plain of Cyprus, known for its fertile agricultural land and its role as a key geographical and historical region of the island.
-
D.
Iolkos
Iolkos was an ancient city in Thessaly, Greece, traditionally known as the homeland of Jason and the starting point of the Argonauts’ voyage in Greek mythology.
-
E.
Mevania
Mevania was an important ancient Umbrian town in central Italy, known today as Bevagna in the region of Umbria.
- 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: Mesos Triple: [Container Storage Interface, usedBy, Mesos]
Generated description
Mesos is an open-source cluster manager that abstracts CPU, memory, and other resources across distributed systems to efficiently run and scale applications and frameworks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mesos Target entity description: Mesos is an open-source cluster manager that abstracts CPU, memory, and other resources across distributed systems to efficiently run and scale applications and frameworks.
-
A.
Telos
Telos is an icy, subterranean planet in the Doctor Who universe best known as a major stronghold and tomb world of the Cybermen.
-
B.
Nomada
Nomada is a large genus of cleptoparasitic “cuckoo bees” known for laying their eggs in the nests of other solitary bees.
-
C.
Mesaoria
Mesaoria is the central plain of Cyprus, known for its fertile agricultural land and its role as a key geographical and historical region of the island.
-
D.
Iolkos
Iolkos was an ancient city in Thessaly, Greece, traditionally known as the homeland of Jason and the starting point of the Argonauts’ voyage in Greek mythology.
-
E.
Mevania
Mevania was an important ancient Umbrian town in central Italy, known today as Bevagna in the region of Umbria.
- 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_69cb3b0983388190a77e8d5d899c5130 |
completed | March 31, 2026, 3:10 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.