Triple
T4366393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Island Park |
E98783
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Far Enough Farm |
E93871
|
NE 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: Far Enough Farm | Statement: [Toronto Island Park, hasPart, Far Enough Farm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Far Enough Farm Context triple: [Toronto Island Park, hasPart, Far Enough Farm]
-
A.
Far Enough Farm
chosen
Far Enough Farm is a small, family-friendly petting farm and educational attraction located on the Toronto Islands in Toronto, Canada.
-
B.
The Farm
The Farm is a popular nickname for Stanford University, reflecting its origins on the former Palo Alto Stock Farm owned by the Stanford family.
-
C.
The Farm
The Farm is a seminal painting by Spanish artist Joan Miró that marks his transition from detailed realism to a more symbolic, surreal style, depicting his family’s farmhouse in Catalonia.
-
D.
Once Upon A Farm
Once Upon A Farm is a family-friendly, interactive farm-themed exhibit at the Memphis Zoo where visitors can experience domestic animals and agricultural life up close.
-
E.
Omniverse Farm
Omniverse Farm is NVIDIA’s scalable, server-based system for managing and distributing large-scale rendering and simulation workloads across multiple machines within the Omniverse platform.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35200263081909bb326a4d7a8db99 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcbbd1881908eb9f0ea6b2fe16b |
completed | March 14, 2026, 10:06 p.m. |
Created at: March 12, 2026, 11:17 p.m.