Triple
T8146032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boer republics |
E190213
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Goshen
Goshen was a short-lived Boer republic in southern Africa established by Voortrekker settlers during the 1880s.
|
E712333
|
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: Goshen | Statement: [Boer republics, hasMember, Goshen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goshen Context triple: [Boer republics, hasMember, Goshen]
-
A.
Goshen
Goshen is a small city in northern Indiana known for its manufacturing base, Mennonite and Amish heritage, and historic downtown.
-
B.
Goshen, New York
Goshen, New York is a historic village in the Hudson Valley known for its role as the county seat and its longstanding equestrian and agricultural heritage.
-
C.
Goshen, New Hampshire
Goshen, New Hampshire is a small rural town located in Sullivan County in the western part of the state.
-
D.
Goshen, Vermont
Goshen, Vermont is a small rural town located in the Green Mountains of Addison County, known for its forested landscape and outdoor recreation opportunities.
-
E.
Goshen, Connecticut
Goshen, Connecticut is a small rural town in northwestern Connecticut known for its scenic countryside, farms, and quiet residential character.
- 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: Goshen Triple: [Boer republics, hasMember, Goshen]
Generated description
Goshen was a short-lived Boer republic in southern Africa established by Voortrekker settlers during the 1880s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goshen Target entity description: Goshen was a short-lived Boer republic in southern Africa established by Voortrekker settlers during the 1880s.
-
A.
Goshen
Goshen is a small city in northern Indiana known for its manufacturing base, Mennonite and Amish heritage, and historic downtown.
-
B.
Goshen, New York
Goshen, New York is a historic village in the Hudson Valley known for its role as the county seat and its longstanding equestrian and agricultural heritage.
-
C.
Goshen, New Hampshire
Goshen, New Hampshire is a small rural town located in Sullivan County in the western part of the state.
-
D.
Goshen, Vermont
Goshen, Vermont is a small rural town located in the Green Mountains of Addison County, known for its forested landscape and outdoor recreation opportunities.
-
E.
Goshen, Connecticut
Goshen, Connecticut is a small rural town in northwestern Connecticut known for its scenic countryside, farms, and quiet residential character.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4447dbc48190affb0f34f6c85f5a |
completed | March 31, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94b667d88190a0b47c7e0e07f338 |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c228c08190a603c1dff44ff299 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96b02d38819085eb51c1943b3045 |
completed | April 1, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:36 p.m.