Triple
T26180268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Hoggett |
E654656
|
entity |
| Predicate | farms |
P124764
|
FINISHED |
| Object | Hoggett farm |
—
|
NE NERFINISHED |
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: Hoggett farm | Statement: [Arthur Hoggett, farms, Hoggett farm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: farms Context triple: [Arthur Hoggett, farms, Hoggett farm]
-
A.
farmSystemOf
Indicates that one entity is the agricultural or farming system to which another entity belongs or with which it is associated.
-
B.
farmingStructure
Indicates that one entity is a structure or facility used for farming-related activities in relation to another entity.
-
C.
servesAsFarmSystemFor
Indicates that one entity functions as a developmental or feeder system that supplies trained or prepared resources (such as players, talent, or products) to another entity.
-
D.
agriculturalFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
-
E.
hasFarm
chosen
Indicates that one entity owns, operates, or is responsible for a farm associated 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c6f7d4c819087acf8c6de2cc895 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:39 p.m.