Triple
T16684217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concord, New Hampshire |
E405416
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Rumford
Rumford is the former name of Concord, the capital city of the U.S. state of New Hampshire.
|
E1228317
|
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: Rumford | Statement: [Concord, New Hampshire, originalName, Rumford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumford Context triple: [Concord, New Hampshire, originalName, Rumford]
-
A.
Rumford
Rumford is a historic village and residential neighborhood in the city of East Providence, Rhode Island, known for its colonial-era sites and suburban character.
-
B.
Rumford
Rumford is a small mill town in western Maine known for its paper industry and location along the Androscoggin River.
-
C.
Rumford fireplace
The Rumford fireplace is a late-18th-century fireplace design that greatly improved heating efficiency and smoke ventilation through a tall, shallow firebox and streamlined chimney.
-
D.
Noyes
Noyes is an 'L' rapid transit station in Evanston, Illinois, served by the Chicago Transit Authority's Purple Line.
-
E.
Rumford Fund
The Rumford Fund is a financial endowment that supports scientific research and teaching, particularly in the physical sciences, at Harvard University.
- 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: Rumford Triple: [Concord, New Hampshire, originalName, Rumford]
Generated description
Rumford is the former name of Concord, the capital city of the U.S. state of New Hampshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rumford Target entity description: Rumford is the former name of Concord, the capital city of the U.S. state of New Hampshire.
-
A.
Rumford
Rumford is a historic village and residential neighborhood in the city of East Providence, Rhode Island, known for its colonial-era sites and suburban character.
-
B.
Rumford
Rumford is a small mill town in western Maine known for its paper industry and location along the Androscoggin River.
-
C.
Rumford fireplace
The Rumford fireplace is a late-18th-century fireplace design that greatly improved heating efficiency and smoke ventilation through a tall, shallow firebox and streamlined chimney.
-
D.
Noyes
Noyes is an 'L' rapid transit station in Evanston, Illinois, served by the Chicago Transit Authority's Purple Line.
-
E.
Rumford Fund
The Rumford Fund is a financial endowment that supports scientific research and teaching, particularly in the physical sciences, at Harvard University.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a422f8c8190873fd7089df8fbd4 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b41a1648190bd1c2268c8a80ee2 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008c2bcac48190801ba34fde104a8a |
completed | May 10, 2026, 1:46 p.m. |
Created at: April 10, 2026, 5:19 a.m.