Triple
T20495183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming County, Pennsylvania |
E502852
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Laceyville
Laceyville is a small borough in northeastern Pennsylvania known for its rural setting along the Susquehanna River.
|
E1434895
|
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: Laceyville | Statement: [Wyoming County, Pennsylvania, contains, Laceyville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laceyville Context triple: [Wyoming County, Pennsylvania, contains, Laceyville]
-
A.
Wallaceville
Wallaceville is a residential suburb located within the Hutt Valley region near Wellington, New Zealand.
-
B.
Hattieville
Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
-
C.
Daceyville
Daceyville is a small residential suburb in Sydney, Australia, known as one of the country’s earliest public housing garden suburbs.
-
D.
Temperanceville
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
-
E.
Preeceville
Preeceville is a small town in east-central Saskatchewan, Canada, known for its agricultural community and proximity to lakes and outdoor recreation areas.
- 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: Laceyville Triple: [Wyoming County, Pennsylvania, contains, Laceyville]
Generated description
Laceyville is a small borough in northeastern Pennsylvania known for its rural setting along the Susquehanna River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laceyville Target entity description: Laceyville is a small borough in northeastern Pennsylvania known for its rural setting along the Susquehanna River.
-
A.
Wallaceville
Wallaceville is a residential suburb located within the Hutt Valley region near Wellington, New Zealand.
-
B.
Hattieville
Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
-
C.
Daceyville
Daceyville is a small residential suburb in Sydney, Australia, known as one of the country’s earliest public housing garden suburbs.
-
D.
Temperanceville
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
-
E.
Preeceville
Preeceville is a small town in east-central Saskatchewan, Canada, known for its agricultural community and proximity to lakes and outdoor recreation areas.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893b8a86081908783a9b8cf2dc485 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08962f4e3881908df0bb55b6239c86 |
completed | May 16, 2026, 4:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0896b417bc8190963b69f84ea0e3c8 |
completed | May 16, 2026, 4:09 p.m. |
Created at: April 16, 2026, 11:35 a.m.