Triple
T20633605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan Clifford |
E507018
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Rumney, New Hampshire, United States |
—
|
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: Rumney, New Hampshire, United States | Statement: [Nathan Clifford, placeOfBirth, Rumney, New Hampshire, United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumney, New Hampshire, United States Context triple: [Nathan Clifford, placeOfBirth, Rumney, New Hampshire, United States]
-
A.
Rumney, New Hampshire
chosen
Rumney, New Hampshire is a small town in Grafton County known for its rural character and popular rock-climbing cliffs at Rumney Rocks.
-
B.
Rumney
Rumney is a district in the eastern part of Cardiff, Wales, situated near the mouth of the Rhymney River.
-
C.
Rye, New Hampshire
Rye, New Hampshire is a small coastal town known for its scenic Atlantic shoreline, beaches, and historic New England character.
-
D.
Lyman, New Hampshire
Lyman, New Hampshire is a small rural town located in the northwestern part of the state within Grafton County.
-
E.
Barnstead, New Hampshire
Barnstead, New Hampshire is a small rural town in Belknap County known for its lakes, forests, and residential communities in central New Hampshire.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0d808c81908a60abd02a22ed92 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.