Triple
T15934955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanon County |
E386417
|
entity |
| Predicate | hasTownship |
P22464
|
FINISHED |
| Object |
Union Township
Union Township is a rural municipality located within Lebanon County, Pennsylvania, known for its small communities and agricultural character.
|
E1193889
|
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: Union Township | Statement: [Lebanon County, hasTownship, Union Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Township Context triple: [Lebanon County, hasTownship, Union Township]
-
A.
Union Township
Union Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
B.
Jordan Township
Jordan Township is a civil township located within Antrim County in the U.S. state of Michigan.
-
C.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
D.
Livingston Township
Livingston Township is a suburban municipality in Essex County, New Jersey, known for its residential neighborhoods, strong public school system, and proximity to New York City.
-
E.
March Township
March Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Kanata and subsequently amalgamated into the City of Ottawa.
- 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: Union Township Triple: [Lebanon County, hasTownship, Union Township]
Generated description
Union Township is a rural municipality located within Lebanon County, Pennsylvania, known for its small communities and agricultural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Union Township Target entity description: Union Township is a rural municipality located within Lebanon County, Pennsylvania, known for its small communities and agricultural character.
-
A.
Union Township
Union Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
B.
Jordan Township
Jordan Township is a civil township located within Antrim County in the U.S. state of Michigan.
-
C.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
D.
Livingston Township
Livingston Township is a suburban municipality in Essex County, New Jersey, known for its residential neighborhoods, strong public school system, and proximity to New York City.
-
E.
March Township
March Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Kanata and subsequently amalgamated into the City of Ottawa.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a8bbf48190ad10011e7eb0c6a9 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb82a29081909ef0e2685d0705c3 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:53 a.m.