Triple
T1669450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savin Hill |
E36089
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Fields Corner |
E5259
|
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: Fields Corner | Statement: [Savin Hill, near, Fields Corner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fields Corner Context triple: [Savin Hill, near, Fields Corner]
-
A.
Fields Corner
chosen
Fields Corner is a rapid transit station in Dorchester, Boston, serving as a key stop on the Massachusetts Bay Transportation Authority’s Red Line.
-
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.
Sandfields
Sandfields is a coastal residential and industrial area within the county borough of Neath Port Talbot in South Wales.
-
D.
Greenmeadow
Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
-
E.
Palmland
Palmland was a named passenger train operated by the Seaboard Air Line Railroad that provided long-distance service in the southeastern United States.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adf3d3c81909233e574e79b82a2 |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7988bda081908a966ae1f589cb8f |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.