Triple
T7387551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 4003 |
E170418
|
entity |
| Predicate | dataPathLength |
P76297
|
FINISHED |
| Object | 10 stages |
—
|
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: 10 stages | Statement: [Intel 4003, dataPathLength, 10 stages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataPathLength Context triple: [Intel 4003, dataPathLength, 10 stages]
-
A.
networkLength
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
B.
totalSystemLength
Indicates the complete measured length of an entire system, aggregating all its relevant components or segments.
-
C.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
-
D.
networkLengthContext
Indicates the contextual conditions or parameters under which a network’s length is defined, measured, or interpreted.
-
E.
numberOfPaths
Indicates the count of distinct paths or routes that exist between specified points or within a given structure.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:08 p.m.