Triple
T16535657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Bridge |
E401682
|
entity |
| Predicate | adjacentToMunicipality |
P33892
|
FINISHED |
| Object |
Lebanon Township
Lebanon Township is a rural, residential municipality in Hunterdon County, New Jersey, known for its wooded landscapes and small-town character.
|
E1217853
|
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: Lebanon Township | Statement: [High Bridge, adjacentToMunicipality, Lebanon Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebanon Township Context triple: [High Bridge, adjacentToMunicipality, Lebanon Township]
-
A.
Sylvania Township
Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
-
B.
Avon Township
Avon Township is a civil township located within Lorain County in the state of Ohio, United States.
-
C.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
D.
Elsinboro Township
Elsinboro Township is a small rural municipality located along the Delaware River in Salem County, New Jersey.
-
E.
Dorr Township
Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
- 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: Lebanon Township Triple: [High Bridge, adjacentToMunicipality, Lebanon Township]
Generated description
Lebanon Township is a rural, residential municipality in Hunterdon County, New Jersey, known for its wooded landscapes and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lebanon Township Target entity description: Lebanon Township is a rural, residential municipality in Hunterdon County, New Jersey, known for its wooded landscapes and small-town character.
-
A.
Sylvania Township
Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
-
B.
Avon Township
Avon Township is a civil township located within Lorain County in the state of Ohio, United States.
-
C.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
D.
Elsinboro Township
Elsinboro Township is a small rural municipality located along the Delaware River in Salem County, New Jersey.
-
E.
Dorr Township
Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0060eca9fc81908f376cd2f7219bcd |
completed | May 10, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00622f44ec8190a7d66c7882ae28b2 |
completed | May 10, 2026, 10:47 a.m. |
Created at: April 10, 2026, 5:15 a.m.