Triple
T34756666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucindale |
E1001943
|
entity |
| Predicate | fieldDaysPurpose |
P164531
|
FINISHED |
| Object | showcasing farming equipment |
—
|
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: showcasing farming equipment | Statement: [Lucindale, fieldDaysPurpose, showcasing farming equipment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldDaysPurpose Context triple: [Lucindale, fieldDaysPurpose, showcasing farming equipment]
-
A.
dayUse
Indicates that something is intended or permitted to be used during the daytime.
-
B.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
C.
entryPurpose
Indicates the reason or intended use for which an entity is being entered, accessed, or recorded in a given context.
-
D.
eventPurpose
chosen
Indicates that an event is carried out with the intention of achieving or serving a particular purpose or goal.
-
E.
operationalPurpose
Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational 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_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 3:59 p.m.