Triple
T4673699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic salmon |
E103625
|
entity |
| Predicate | commonTotalLength |
P58788
|
FINISHED |
| Object | about 70 to 76 centimeters |
—
|
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: about 70 to 76 centimeters | Statement: [Atlantic salmon, commonTotalLength, about 70 to 76 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonTotalLength Context triple: [Atlantic salmon, commonTotalLength, about 70 to 76 centimeters]
-
A.
totalSystemLength
Indicates the complete measured length of an entire system, aggregating all its relevant components or segments.
-
B.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
C.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
-
D.
totalHeight
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
E.
totalFiberStrands
Indicates the total number of fiber strands associated with or contained in a given entity or connection.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd655719dc8190beb6942f343a0ae7 |
completed | March 20, 2026, 3:18 p.m. |
Created at: March 20, 2026, 1:15 p.m.