Triple
T15479984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Hartford |
E376889
|
entity |
| Predicate | crossRiverLink |
P73938
|
FINISHED |
| Object |
Bissell Bridge
Bissell Bridge is a highway bridge in Connecticut that carries traffic across the Connecticut River between East Hartford and Windsor.
|
E1159736
|
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: Bissell Bridge | Statement: [East Hartford, crossRiverLink, Bissell Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bissell Bridge Context triple: [East Hartford, crossRiverLink, Bissell Bridge]
-
A.
Outerbridge
Outerbridge is a surname most notably associated with Canadian actor Peter Outerbridge, known for his work in film and television.
-
B.
Appley Bridge
Appley Bridge is a semi-rural village in Lancashire, England, situated near the River Douglas and known for its canal-side setting and former industrial activity.
-
C.
Stile Bridge
Stile Bridge is a road bridge in Kent, England, that carries traffic over the River Beult near the village of Marden.
-
D.
Lion Bridge
Lion Bridge is a small 19th-century pedestrian suspension bridge in Saint Petersburg, Russia, notable for its decorative lion sculptures.
-
E.
Bain
Bain is a variant form of the name or term "Bean," used as an alternative spelling or version in certain contexts.
- 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: Bissell Bridge Triple: [East Hartford, crossRiverLink, Bissell Bridge]
Generated description
Bissell Bridge is a highway bridge in Connecticut that carries traffic across the Connecticut River between East Hartford and Windsor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bissell Bridge Target entity description: Bissell Bridge is a highway bridge in Connecticut that carries traffic across the Connecticut River between East Hartford and Windsor.
-
A.
Outerbridge
Outerbridge is a surname most notably associated with Canadian actor Peter Outerbridge, known for his work in film and television.
-
B.
Appley Bridge
Appley Bridge is a semi-rural village in Lancashire, England, situated near the River Douglas and known for its canal-side setting and former industrial activity.
-
C.
Stile Bridge
Stile Bridge is a road bridge in Kent, England, that carries traffic over the River Beult near the village of Marden.
-
D.
Lion Bridge
Lion Bridge is a small 19th-century pedestrian suspension bridge in Saint Petersburg, Russia, notable for its decorative lion sculptures.
-
E.
Bain
Bain is a variant form of the name or term "Bean," used as an alternative spelling or version in certain contexts.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0b3e7881908f195701fe222371 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2e4010dc8190b0f81d03acf8ba41 |
completed | May 9, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff310c2d5c819093295c45307176ec |
completed | May 9, 2026, 1:05 p.m. |
Created at: April 10, 2026, 3:34 a.m.