Triple
T8868302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voorhees Township |
E211077
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Gibbsboro |
E568306
|
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: Gibbsboro | Statement: [Voorhees Township, borderedBy, Gibbsboro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gibbsboro Context triple: [Voorhees Township, borderedBy, Gibbsboro]
-
A.
Gibbsboro
chosen
Gibbsboro is a small borough located in southern New Jersey, United States.
-
B.
Woodbury, New Jersey
Woodbury, New Jersey is a historic small city in Gloucester County that serves as a local commercial and transportation hub in South Jersey.
-
C.
Oakboro
Oakboro is a small town located in Stanly County in the U.S. state of North Carolina.
-
D.
Towson
Towson is an unincorporated community and major suburban center just north of Baltimore, Maryland, known for housing Towson University and extensive commercial and residential areas.
-
E.
Sicklerville
Sicklerville is an unincorporated community and census-designated place in Camden County, New Jersey, known as a suburban residential area within the Philadelphia metropolitan region.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61241d048190aead14a8f5589856 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab9764388190a57ca0c0bb890523 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:51 p.m.