Triple
T8462064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester Bridge |
E200064
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Old Bridge
Old Bridge is the historic section of Rochester Bridge in Rochester, England, known for its longstanding role in carrying traffic across the River Medway.
|
E734787
|
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: Old Bridge | Statement: [Rochester Bridge, hasPart, Old Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Bridge Context triple: [Rochester Bridge, hasPart, Old Bridge]
-
A.
Old Bridge
Old Bridge is a historic bridge and notable landmark in the town of Bridgend, Wales.
-
B.
Old Bridge
Old Bridge is a historic stone arch bridge in Pontypridd, Wales, noted for its distinctive single-span design and role as a local landmark.
-
C.
Old Bridge
Old Bridge is the English translation of "Ponte Vecchio," the famous medieval stone arch bridge spanning the Arno River in Florence, Italy.
-
D.
Old Bridge
Old Bridge is a historic bridge that gave its name to Old Bridge Township in New Jersey, reflecting its significance as a longstanding local landmark and crossing point.
-
E.
The Old Bridge
The Old Bridge is a painting by French artist Hubert Robert, known for its romanticized depiction of classical ruins and atmospheric landscape.
- 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: Old Bridge Triple: [Rochester Bridge, hasPart, Old Bridge]
Generated description
Old Bridge is the historic section of Rochester Bridge in Rochester, England, known for its longstanding role in carrying traffic across the River Medway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Bridge Target entity description: Old Bridge is the historic section of Rochester Bridge in Rochester, England, known for its longstanding role in carrying traffic across the River Medway.
-
A.
Old Bridge
Old Bridge is a historic bridge and notable landmark in the town of Bridgend, Wales.
-
B.
Old Bridge
Old Bridge is a historic stone arch bridge in Pontypridd, Wales, noted for its distinctive single-span design and role as a local landmark.
-
C.
Old Bridge
Old Bridge is the English translation of "Ponte Vecchio," the famous medieval stone arch bridge spanning the Arno River in Florence, Italy.
-
D.
Old Bridge
Old Bridge is a historic bridge that gave its name to Old Bridge Township in New Jersey, reflecting its significance as a longstanding local landmark and crossing point.
-
E.
The Old Bridge
The Old Bridge is a painting by French artist Hubert Robert, known for its romanticized depiction of classical ruins and atmospheric landscape.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a251f08190840a7fc31ff528b5 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1df5d76881909ea5040824985cc3 |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce1f88d404819096c6024c0e61d1ea |
completed | April 2, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce209463508190bdbed7271241807f |
completed | April 2, 2026, 7:53 a.m. |
Created at: March 30, 2026, 6:10 p.m.