Triple
T20377534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campden |
E497731
|
entity |
| Predicate | adjacentToWard |
P45005
|
FINISHED |
| Object | Pembridge |
—
|
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: Pembridge | Statement: [Campden, adjacentToWard, Pembridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pembridge Context triple: [Campden, adjacentToWard, Pembridge]
-
A.
Pembridge
chosen
Pembridge is a historic village in Herefordshire, England, noted for its timber-framed buildings and picturesque rural setting.
-
B.
Horsebridge
Horsebridge is a historic bridge spanning the River Tamar on the border between Devon and Cornwall in southwest England.
-
C.
Pembroke
Pembroke is a small rural city located in Christian County in southwestern Kentucky, United States.
-
D.
Pembroke
Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
-
E.
Pembroke
Pembroke is a given name most notably borne by American film editor Pembroke J. Herring, known for his work on numerous major Hollywood productions.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678ae3468819087d7db7e1b79efc7 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.