Triple
T7716699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Main Line region |
E174902
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Daylesford |
E157709
|
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: Daylesford | Statement: [Pennsylvania Main Line region, contains, Daylesford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daylesford Context triple: [Pennsylvania Main Line region, contains, Daylesford]
-
A.
Daylesford
chosen
Daylesford is a community in Pennsylvania’s western suburbs of Philadelphia, located along the SEPTA Paoli/Thorndale regional rail corridor.
-
B.
Daylesford
Daylesford is a small, picturesque village in Gloucestershire, England, known for its rural charm and historic Cotswold stone buildings.
-
C.
Crookham
Crookham is a small village in Berkshire, England, situated near the town of Thatcham.
-
D.
Wilcote
Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
-
E.
Penneshaw
Penneshaw is a small coastal town on the eastern tip of Kangaroo Island in South Australia, known as the island’s main ferry port and a popular spot for wildlife viewing.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cd0ddc8190aa23d998f55d0bd6 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b50cf3208190af9bb2d4126d381b |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:05 p.m.