Triple
T15326147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterford Township, Camden County, New Jersey |
E366415
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Jackson
Jackson is a residential community located within Waterford Township in Camden County, New Jersey.
|
E1149445
|
NE FINISHED |
How this triple was built (4 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: Jackson | Statement: [Waterford Township, Camden County, New Jersey, hasSettlement, Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackson Context triple: [Waterford Township, Camden County, New Jersey, hasSettlement, Jackson]
-
A.
Jackson
Jackson is a common English surname borne by numerous notable figures across politics, science, sports, and the arts.
-
B.
Jackson
Jackson is the capital and largest city of Mississippi, known as a regional center for government, education, and culture in the American South.
-
C.
Jackson
"Jackson" is a classic country duet, famously performed by Johnny Cash and June Carter, about a fiery, deteriorating marriage and the lure of wild living in the town of Jackson.
-
D.
Jackson
Jackson is a fictional character who works as an operative within the CIA's Domestic Branch.
-
E.
Jackson
Jackson is a major Chicago 'L' station in the Loop that serves the CTA Red Line and connects with multiple other transit lines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jackson Triple: [Waterford Township, Camden County, New Jersey, hasSettlement, Jackson]
Generated description
Jackson is a residential community located within Waterford Township in Camden County, New Jersey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jackson Target entity description: Jackson is a residential community located within Waterford Township in Camden County, New Jersey.
-
A.
Jackson
Jackson is a small town located in Aiken County, South Carolina, known primarily as part of the Central Savannah River Area near the Savannah River Site.
-
B.
Jackson
Jackson is a historic Gold Rush-era town in California’s Sierra Nevada foothills, known for its mining heritage and role in the development of the Mother Lode region.
-
C.
Jackson
Jackson is a city in Michigan that serves as the home of Cascades Falls Park, a popular local landmark known for its illuminated, man-made waterfalls.
-
D.
Jackson
Jackson is the capital and largest city of Mississippi, known as a regional center for government, education, and culture in the American South.
-
E.
Jackson
Jackson is a fictional character who works as an operative within the CIA's Domestic Branch.
- F. None of above. chosen
Provenance (5 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dfd8f048190831b463a2728eafe |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8add7088190b124bd4727bb2f28 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9ed514081909a54da584dff7e5c |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa72f9cc819089550217ea7c7d6e |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.