Triple
T33147476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckingham Township, Bucks County, Pennsylvania |
E848340
|
entity |
| Predicate | isMisreferredToAs |
P153365
|
FINISHED |
| Object | Buckingham County, Pennsylvania |
—
|
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: Buckingham County, Pennsylvania | Statement: [Buckingham Township, Bucks County, Pennsylvania, isMisreferredToAs, Buckingham County, Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMisreferredToAs Context triple: [Buckingham Township, Bucks County, Pennsylvania, isMisreferredToAs, Buckingham County, Pennsylvania]
-
A.
nameIsMisnomerFor
chosen
Indicates that the given name inaccurately or misleadingly describes the entity it refers to.
-
B.
canonicallyReferredToAs
Indicates that one entity is the officially recognized or standard name or label by which another entity is known.
-
C.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
D.
alsoRefersTo
Indicates that one term, label, or identifier is used as an alternative designation for the same entity or concept as another.
-
E.
isReferencedInNickname
Indicates that one entity is mentioned or alluded to within another entity’s nickname.
- F. None of above.
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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:28 a.m.