Triple
T29248625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPE/iX |
E741501
|
entity |
| Predicate | integratedDatabase |
P52665
|
FINISHED |
| Object |
IMAGE/SQL
IMAGE/SQL is the relational database management system integrated with the HP 3000 MPE/iX operating system, providing SQL access to its native IMAGE data structures.
|
E1859939
|
NE FINISHED |
How this triple was built (3 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: IMAGE/SQL | Statement: [MPE/iX, integratedDatabase, IMAGE/SQL]
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: IMAGE/SQL Triple: [MPE/iX, integratedDatabase, IMAGE/SQL]
Generated description
IMAGE/SQL is the relational database management system integrated with the HP 3000 MPE/iX operating system, providing SQL access to its native IMAGE data structures.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedDatabase Context triple: [MPE/iX, integratedDatabase, IMAGE/SQL]
-
A.
dataIntegration
Indicates that data from multiple sources is combined, transformed, and unified into a single, coherent dataset or system.
-
B.
primaryDatabase
Indicates that one database serves as the main or authoritative data source in relation to another system or database.
-
C.
usedInDatabases
chosen
Indicates that something is employed or implemented within one or more database systems or database contexts.
-
D.
integratedStructure
Indicates that multiple components are combined into a single, cohesive structure that functions as an integrated whole.
-
E.
previouslyIntegratedInto
Indicates that an entity was formerly incorporated or included as part of another entity or system in the past.
- F. None of above.
Provenance (6 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a258925827c819094b5cb59e98790b4 |
completed | June 7, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_6a2594cd74408190b337810ceac39724 |
completed | June 7, 2026, 3:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2599021d10819083fc8e0a0c13b189 |
completed | June 7, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 12:33 p.m.