Triple
T31836433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HP 82169A HP-IL/HP-IB Interface |
E812686
|
entity |
| Predicate | convertsBetween |
P180354
|
FINISHED |
| Object | HP-IL and HP-IB |
—
|
LITERAL FINISHED |
How this triple was built (2 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: HP-IL and HP-IB | Statement: [HP 82169A HP-IL/HP-IB Interface, convertsBetween, HP-IL and HP-IB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertsBetween Context triple: [HP 82169A HP-IL/HP-IB Interface, convertsBetween, HP-IL and HP-IB]
-
A.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
B.
helpedConvert
Indicates that one entity assisted another in changing, transforming, or transitioning something from one state, form, or system to another.
-
C.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
D.
conversionDetails
Indicates the specific parameters, conditions, and outcomes associated with transforming one entity, state, or value into another.
-
E.
conversionBasis
Indicates the reference standard, rate, or unit system used as the foundation for converting one quantity, unit, or representation into another.
- F. None of above. chosen
Provenance (4 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 30, 2026, 11:48 p.m.