Triple
T36199072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prim's minimum spanning tree algorithm |
E1047207
|
entity |
| Predicate | originalDiscoveryYear |
P3631
|
FINISHED |
| Object | 1930 |
—
|
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: 1930 | Statement: [Prim's minimum spanning tree algorithm, originalDiscoveryYear, 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalDiscoveryYear Context triple: [Prim's minimum spanning tree algorithm, originalDiscoveryYear, 1930]
-
A.
discoveryDate
Indicates the date on which something was first discovered or identified.
-
B.
discoveryYear
chosen
Indicates the calendar year in which something was first discovered or identified.
-
C.
ageWhenDiscovered
Indicates the age of an entity at the time it was first discovered.
-
D.
discoveredByScholarsYear
Indicates the year in which scholars discovered, identified, or formally recognized the subject.
-
E.
rediscoveryYear
Indicates the year in which something that was previously known but lost, forgotten, or overlooked was found or recognized again.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.