Triple
T34756663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucindale |
E1001943
|
entity |
| Predicate | fieldDaysType |
P103822
|
FINISHED |
| Object | agricultural field days |
—
|
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: agricultural field days | Statement: [Lucindale, fieldDaysType, agricultural field days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldDaysType Context triple: [Lucindale, fieldDaysType, agricultural field days]
-
A.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
B.
dayType
chosen
Indicates the classification or category of a given day based on its characteristics or role (e.g., weekday, weekend, holiday).
-
C.
hasDays
Indicates that an entity is associated with, spans, or occurs on specific days.
-
D.
numberOfFieldPeriods
Indicates the total count of distinct field periods associated with or occurring within a given context or entity.
-
E.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.