Triple
T8471210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LocalTalk cabling system |
E200283
|
entity |
| Predicate | maxSegmentLength |
P15978
|
FINISHED |
| Object | approximately 1000 feet per segment |
—
|
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: approximately 1000 feet per segment | Statement: [LocalTalk cabling system, maxSegmentLength, approximately 1000 feet per segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxSegmentLength Context triple: [LocalTalk cabling system, maxSegmentLength, approximately 1000 feet per segment]
-
A.
maximumSegmentLength
chosen
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
B.
maximumNumberOfSegments
Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
-
C.
maximumStationsPerSegment
Indicates the greatest number of stations that are allowed or can exist within a single segment.
-
D.
maximumTermCount
Indicates the highest number of terms that are allowed or considered within a given context or operation.
-
E.
maximumFileNameLength
Indicates the maximum number of characters allowed in a file name within a given system or context.
- F. None of above.
Provenance (3 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.