Triple
T30520984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | conduction aphasia |
E776691
|
entity |
| Predicate | wasDescribedInYear |
P1353
|
FINISHED |
| Object | 1874 |
—
|
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: 1874 | Statement: [conduction aphasia, wasDescribedInYear, 1874]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDescribedInYear Context triple: [conduction aphasia, wasDescribedInYear, 1874]
-
A.
describedYear
Indicates the specific year in which something is described, documented, or characterized.
-
B.
yearDescribed
chosen
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
-
C.
statedInYear
Indicates that something was declared, expressed, or formally stated during a specific calendar year.
-
D.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
-
E.
definedInYear
Indicates that something (such as an entity, concept, or item) was formally established, specified, or created in a particular calendar year.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68809fa4c8190b7477043dd360dc2 |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:17 p.m.