Triple

T30698373
Position Surface form Disambiguated ID Type / Status
Subject Delaware River bridge system E781538 entity
Predicate includesBridge P50312 FINISHED
Object NJ 90 Betsy Ross Bridge
The NJ 90 Betsy Ross Bridge is a major highway bridge that carries traffic across the Delaware River between Philadelphia, Pennsylvania, and Pennsauken, New Jersey.
E2020260 NE FINISHED

How this triple was built (2 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: NJ 90 Betsy Ross Bridge | Statement: [Delaware River bridge system, includesBridge, NJ 90 Betsy Ross Bridge]
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: NJ 90 Betsy Ross Bridge
Triple: [Delaware River bridge system, includesBridge, NJ 90 Betsy Ross Bridge]
Generated description
The NJ 90 Betsy Ross Bridge is a major highway bridge that carries traffic across the Delaware River between Philadelphia, Pennsylvania, and Pennsauken, New Jersey.

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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68bdceb8c8190b78e499ea2357e0f completed May 2, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7836d2881909a087c99417347f5 completed June 19, 2026, 2:20 a.m.
NEDg Description generation batch_6a34a7e00e90819091b23737078a3215 completed June 19, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a34a81f47008190812528d87c2b4cd1 completed June 19, 2026, 2:23 a.m.
Created at: April 29, 2026, 8:34 p.m.