Triple
T20957028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Awakening Land trilogy |
E516127
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Fields |
—
|
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: The Fields | Statement: [The Awakening Land trilogy, hasPart, The Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fields Context triple: [The Awakening Land trilogy, hasPart, The Fields]
-
A.
The Fields
chosen
The Fields is a historical novel by American author Conrad Richter, forming part of his acclaimed trilogy depicting pioneer life in the American frontier.
-
B.
In the Fields
"In the Fields" is a pastoral painting by British artist George Clausen, known for its naturalistic depiction of rural agricultural life.
-
C.
Weavers Fields
Weavers Fields is a public park in Bethnal Green, East London, known for its open green space, sports facilities, and community recreation areas.
-
D.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
E.
The Meadows
The Meadows is a large public park and green space in central Edinburgh, popular for recreation, sports, and community events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6c2f1481908360fb86d2b6a8e4 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:28 p.m.