Triple
T11822533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higham |
E281174
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Rochester
Rochester is a historic city in Kent, England, known for its well-preserved Norman castle, cathedral, and strong associations with the novelist Charles Dickens.
|
E116344
|
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: Rochester | Statement: [Higham, locatedNear, Rochester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochester Context triple: [Higham, locatedNear, Rochester]
-
A.
Rochester
Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
-
B.
Rochester
Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
-
C.
Rochester
Rochester is a small borough in western Pennsylvania situated along the Ohio River in Beaver County.
-
D.
Rochester
Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
-
E.
Rochester
Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
- 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: Rochester Triple: [Higham, locatedNear, Rochester]
Generated description
Rochester is a historic city in Kent, England, known for its well-preserved Norman castle, cathedral, and strong associations with the novelist Charles Dickens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rochester Target entity description: Rochester is a historic city in Kent, England, known for its well-preserved Norman castle, cathedral, and strong associations with the novelist Charles Dickens.
-
A.
Rochester
chosen
Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
-
B.
Rochester
Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
-
C.
Rochester
Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
-
D.
Rochester
Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
-
E.
Rochester
Rochester is a fictional English surname most famously borne by Mr. Edward Rochester, the brooding Byronic hero in Charlotte Brontë’s novel "Jane Eyre."
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e9c50481909b2287a0b23d2094 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4715720e08190a3bc1b4fc888fe79 |
completed | May 1, 2026, 9:24 a.m. |
| NEDg | Description generation | batch_69f47b755f808190acb2fb31473d2405 |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47d8bbae8819088d48b300291ef74 |
completed | May 1, 2026, 10:16 a.m. |
Created at: April 8, 2026, 9:42 p.m.