Triple
T3827812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farley |
E88733
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Farleigh |
E337345
|
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: Farleigh | Statement: [Farley, hasVariantSpelling, Farleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farleigh Context triple: [Farley, hasVariantSpelling, Farleigh]
-
A.
Farleigh
chosen
Farleigh is a village and civil parish in Surrey, England, known for its rural character and historic church.
-
B.
Nethermead
Nethermead is a large open meadow in Brooklyn’s Prospect Park, known for its expansive lawns and use as a site for picnics, recreation, and public events.
-
C.
Longmead
Longmead is a locality within the Borough of Epsom and Ewell in Surrey, England, known primarily as a residential and community area.
-
D.
Sevenhill
Sevenhill is a small historic township in South Australia's Clare Valley, known for its vineyards and role in the region's wine production.
-
E.
Stonehurst
Stonehurst is a residential neighborhood within Upper Darby Township, Pennsylvania, known for its dense housing and proximity to West Philadelphia.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb66c0bc819084d9a9fe32e8433a |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb51e6248190b242f9e498a320d3 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.