Triple
T15934939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanon County |
E386417
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Myerstown |
E525281
|
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: Myerstown | Statement: [Lebanon County, hasMunicipality, Myerstown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myerstown Context triple: [Lebanon County, hasMunicipality, Myerstown]
-
A.
Myerstown, Pennsylvania
chosen
Myerstown, Pennsylvania is a small borough in Lebanon County known for its historic roots, rural character, and role as a local residential and commercial center within south-central Pennsylvania.
-
B.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
C.
Mount Pleasant, Pennsylvania
Mount Pleasant, Pennsylvania is a small borough in Westmoreland County known historically for its coal mining and glass manufacturing industries.
-
D.
Minersville
Minersville is a small community located within Beaver County in the state of Utah, United States.
-
E.
Bridgeville, Pennsylvania
Bridgeville, Pennsylvania is a small borough in Allegheny County near Pittsburgh, historically shaped by coal mining and industry and now a residential community with local businesses and easy access to the city.
- 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_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_69ffb5b514108190965e77346d8b476e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.