Triple
T38415521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bauer |
E901590
|
entity |
| Predicate | wasOriginallyGivenTo |
P32925
|
FINISHED |
| Object | farmers |
—
|
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: farmers | Statement: [Bauer, wasOriginallyGivenTo, farmers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOriginallyGivenTo Context triple: [Bauer, wasOriginallyGivenTo, farmers]
-
A.
originallyGivenTo
chosen
Indicates that something was first transferred, assigned, or presented to a particular recipient before any later changes in ownership or status.
-
B.
originallyAwardedTo
Indicates that something (such as a prize, title, or resource) was first granted or assigned to a particular recipient before any later changes or transfers.
-
C.
oftenGivenTo
Indicates that something is frequently provided, granted, or presented to a particular entity.
-
D.
originallyHad
Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
-
E.
wasOriginally
Indicates that an entity had a particular state, form, type, or affiliation at an earlier time, which has since changed.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.