Triple
T5565489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summit County |
E145869
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Stow
Stow is a suburban city in northeastern Ohio known for its residential communities, parks, and proximity to Akron.
|
E534301
|
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: Stow | Statement: [Summit County, hasMunicipality, Stow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stow Context triple: [Summit County, hasMunicipality, Stow]
-
A.
Stow
Stow is a small historic village in the Scottish Borders, known for its rural setting and traditional architecture along the Gala Water.
-
B.
Stowell
Stowell is an English surname notably borne by Baroness Stowell of Beeston, a British Conservative politician and life peer.
-
C.
Fairhaven
Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
-
D.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
E.
Gardiner
Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
- 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: Stow Triple: [Summit County, hasMunicipality, Stow]
Generated description
Stow is a suburban city in northeastern Ohio known for its residential communities, parks, and proximity to Akron.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stow Target entity description: Stow is a suburban city in northeastern Ohio known for its residential communities, parks, and proximity to Akron.
-
A.
Stow
Stow is a small historic village in the Scottish Borders, known for its rural setting and traditional architecture along the Gala Water.
-
B.
Stowell
Stowell is an English surname notably borne by Baroness Stowell of Beeston, a British Conservative politician and life peer.
-
C.
Fairhaven
Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
-
D.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
E.
Gardiner
Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02033cc308190895f13454c57f452 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d125e808190b0360da35d514920 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e868cc48190bdb245ba52b9b938 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f0de68c8190817b525f2d8ef327 |
completed | March 22, 2026, 8:20 p.m. |
Created at: March 22, 2026, 3:36 p.m.