Triple
T18120529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land Girls |
E433717
|
entity |
| Predicate | providedWith |
P13910
|
FINISHED |
| Object | uniform |
—
|
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: uniform | Statement: [Land Girls, providedWith, uniform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedWith Context triple: [Land Girls, providedWith, uniform]
-
A.
providedFor
Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
-
B.
returnedWith
Indicates that an entity came back or was brought back accompanied by, or in possession of, another specified entity.
-
C.
providesThat
Indicates that one entity stipulates, specifies, or sets forth a condition, rule, or provision that applies to another entity or situation.
-
D.
providedAt
Indicates that something is supplied, made available, or delivered at a specific time or location.
-
E.
availableWith
chosen
Indicates that one entity can be obtained, accessed, or used in conjunction with another entity.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd9b21c81908d23b8d9840410df |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.