Triple
T52648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interface Message Processor |
E1033
|
entity |
| Predicate | packetSize |
P3276
|
FINISHED |
| Object | fixed-size packets |
—
|
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: fixed-size packets | Statement: [Interface Message Processor, packetSize, fixed-size packets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packetSize Context triple: [Interface Message Processor, packetSize, fixed-size packets]
-
A.
collectionSize
Indicates the total number of items contained within a specified collection.
-
B.
rankBySize
Indicates that entities are ordered or compared based on their size.
-
C.
protocol
Indicates that one entity defines or follows a specific set of rules or procedures governing how it interacts or communicates with another entity.
-
D.
clutchSize
Indicates the number of offspring (e.g., eggs or young) produced by an organism in a single reproductive event.
-
E.
hasStandardLetterCount
Indicates that an entity’s associated text or label contains a number of letters that matches a predefined standard or expected count.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c709c248190bcd442c8d508e48c |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac3c8dc819099849023bdaa35a9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c6ff0588190b0fd864da9aa8569 |
completed | Feb. 28, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.