Triple
T11370873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seabury Hall |
E269336
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object |
Hartford
Hartford is the capital city of Connecticut, known as a historic center of the U.S. insurance industry and one of the oldest cities in New England.
|
E67626
|
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: Hartford | Statement: [Seabury Hall, city, Hartford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartford Context triple: [Seabury Hall, city, Hartford]
-
A.
Hartford
Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
-
B.
Hartford
Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
-
C.
New Haven
New Haven is a small city in central Kentucky known for its historic railroad heritage and proximity to the Kentucky Railway Museum.
-
D.
Hartford (Providence)
Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
-
E.
The Hartford
The Hartford is a major American insurance and financial services company known for its property and casualty, group benefits, and mutual funds offerings.
- 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: Hartford Triple: [Seabury Hall, city, Hartford]
Generated description
Hartford is the capital city of Connecticut, known as a historic center of the U.S. insurance industry and one of the oldest cities in New England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hartford Target entity description: Hartford is the capital city of Connecticut, known as a historic center of the U.S. insurance industry and one of the oldest cities in New England.
-
A.
Hartford
chosen
Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
-
B.
Hartford
Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
-
C.
New Haven
New Haven is a small city in central Kentucky known for its historic railroad heritage and proximity to the Kentucky Railway Museum.
-
D.
Hartford (Providence)
Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
-
E.
The Hartford
The Hartford is a major American insurance and financial services company known for its property and casualty, group benefits, and mutual funds offerings.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8b196881909af9b138661e816d |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af38e3548190a5192894932d9b1d |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b02e3b9881909387c1f70176a1bd |
completed | May 3, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b11ced30819090f67a0b1e1369aa |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:33 p.m.