Triple
T13079678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSD |
E310169
|
entity |
| Predicate | wasFirstSynthesizedInYear |
P108335
|
FINISHED |
| Object | 1938 |
—
|
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: 1938 | Statement: [LSD, wasFirstSynthesizedInYear, 1938]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstSynthesizedInYear Context triple: [LSD, wasFirstSynthesizedInYear, 1938]
-
A.
wasFirstSynthesizedIn
Indicates the location or context in which something (typically a substance or compound) was originally created or produced for the first time.
-
B.
wasFirstSynthesizedBy
Indicates that one entity is the person, group, or organization that originally synthesized or created the other entity for the first time.
-
C.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
D.
firstSerializationYear
Indicates the year in which an entity (such as a work or series) was first serialized or began its initial serialized publication.
-
E.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d980e622e8819087a69bfb1660dd64 |
completed | April 10, 2026, 10:59 p.m. |
Created at: April 9, 2026, 9:01 p.m.