Triple
T12225477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton, Massachusetts |
E291338
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Clinton
Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
|
E257078
|
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: Clinton | Statement: [Clinton, Massachusetts, hasName, Clinton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clinton Context triple: [Clinton, Massachusetts, hasName, Clinton]
-
A.
Clinton
Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
-
B.
Clinton
Clinton is a small city in eastern Tennessee that serves as the county seat of Anderson County and is part of the greater Knoxville region.
-
C.
Clinton
Clinton is a masculine given name of English origin, often shortened to "Clint" and borne by various notable figures in politics, sports, and entertainment.
-
D.
Clinton
Clinton is a small city in western Oklahoma known for its Route 66 heritage and regional agricultural and energy-based economy.
-
E.
Clinton
Clinton is a small village in British Columbia, Canada, known historically as a Cariboo Wagon Road stop and gateway to the Cariboo region.
- 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: Clinton Triple: [Clinton, Massachusetts, hasName, Clinton]
Generated description
Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clinton Target entity description: Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
-
A.
Clinton
chosen
Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
-
B.
Clinton
Clinton is a small coastal town in southern Connecticut known for its shoreline location on Long Island Sound and historic New England character.
-
C.
Clinton
Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
-
D.
Clinton
Clinton is a small rural town in South Otago, New Zealand, known historically as a service centre for the surrounding farming community.
-
E.
Clinton
Clinton is a small village in British Columbia, Canada, known historically as a Cariboo Wagon Road stop and gateway to the Cariboo region.
- F. None of above.
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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555903b08190a8c70bf7eda47dff |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f656a6dafc81908acf59c0ba65189a |
completed | May 2, 2026, 7:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65b4d109c8190b48c71f664e7bb3f |
completed | May 2, 2026, 8:15 p.m. |
Created at: April 8, 2026, 9:51 p.m.