Triple
T11118975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delanco |
E262967
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object |
Delanco Township
Delanco Township is a small residential municipality in Burlington County, New Jersey, situated along the Delaware River.
|
E906035
|
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: Delanco Township | Statement: [Delanco, subdivisionName, Delanco Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delanco Township Context triple: [Delanco, subdivisionName, Delanco Township]
-
A.
Dorr Township
Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
-
B.
Insein Township
Insein Township is a northern suburban township of Yangon, Myanmar, known for its large railway junction and the notorious Insein Prison.
-
C.
Landis Township
Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
-
D.
Dala Township
Dala Township is a riverside administrative township in the Yangon metropolitan area of Myanmar, located just across the Yangon River from downtown Yangon.
-
E.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
- 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: Delanco Township Triple: [Delanco, subdivisionName, Delanco Township]
Generated description
Delanco Township is a small residential municipality in Burlington County, New Jersey, situated along the Delaware River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delanco Township Target entity description: Delanco Township is a small residential municipality in Burlington County, New Jersey, situated along the Delaware River.
-
A.
Dorr Township
Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
-
B.
Insein Township
Insein Township is a northern suburban township of Yangon, Myanmar, known for its large railway junction and the notorious Insein Prison.
-
C.
Landis Township
Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
-
D.
Dala Township
Dala Township is a riverside administrative township in the Yangon metropolitan area of Myanmar, located just across the Yangon River from downtown Yangon.
-
E.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af6fe448190b042c2e77b855b05 |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8084a88190918f1f94ca0119ed |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e4307baca48190bbf82f8235d7e2c7 |
completed | April 19, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e43771eaec8190be9bb709723931e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.