Triple
T2841823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenandoah Junction, West Virginia |
E62486
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Smithfield
Smithfield is the former name of Shenandoah Junction, a small community in Jefferson County, West Virginia.
|
E303969
|
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: Smithfield | Statement: [Shenandoah Junction, West Virginia, originalName, Smithfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smithfield Context triple: [Shenandoah Junction, West Virginia, originalName, Smithfield]
-
A.
Smithfield
Smithfield is a small hamlet or locality within the rural town of Amenia in Dutchess County, New York.
-
B.
Smithfield
Smithfield is a small town in central North Carolina that serves as the administrative and commercial hub of Johnston County.
-
C.
Smithfield
Smithfield is a suburban town in northern Rhode Island known for its residential communities, local history, and the campus of Bryant University.
-
D.
Smithfield
Smithfield is a small town in South Africa’s Free State province, historically known as one of the country’s older frontier settlements.
-
E.
Smithfield
Smithfield is a historic district in central London known for its centuries-old meat market and proximity to landmarks such as St Bartholomew-the-Great.
- 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: Smithfield Triple: [Shenandoah Junction, West Virginia, originalName, Smithfield]
Generated description
Smithfield is the former name of Shenandoah Junction, a small community in Jefferson County, West Virginia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smithfield Target entity description: Smithfield is the former name of Shenandoah Junction, a small community in Jefferson County, West Virginia.
-
A.
Smithfield
Smithfield is a small hamlet or locality within the rural town of Amenia in Dutchess County, New York.
-
B.
Smithfield
Smithfield is a small town in central North Carolina that serves as the administrative and commercial hub of Johnston County.
-
C.
Smithfield
Smithfield is a suburban town in northern Rhode Island known for its residential communities, local history, and the campus of Bryant University.
-
D.
Smithfield
Smithfield is a small town in South Africa’s Free State province, historically known as one of the country’s older frontier settlements.
-
E.
Smithfield
Smithfield is a historic district in central London known for its centuries-old meat market and proximity to landmarks such as St Bartholomew-the-Great.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf16d0c08190bb8de4a4160b4414 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d22e588190b119e7d9f9c3873a |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afea180cac8190a5f90c4ffa0dd87a |
completed | March 10, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0089bdb2881909f9f7fbd60b79e2a |
completed | March 10, 2026, 12:03 p.m. |
Created at: March 6, 2026, 10:01 p.m.