Triple

T23337145
Position Surface form Disambiguated ID Type / Status
Subject Pennypack Creek E591626 entity
Predicate crossedBy P416 FINISHED
Object Krewstown Road Bridge
Krewstown Road Bridge is a historic roadway bridge in Philadelphia, Pennsylvania, known for carrying Krewstown Road across Pennypack Creek within Pennypack Park.
E1714026 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: Krewstown Road Bridge | Statement: [Pennypack Creek, crossedBy, Krewstown Road 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: Krewstown Road Bridge
Triple: [Pennypack Creek, crossedBy, Krewstown Road Bridge]
Generated description
Krewstown Road Bridge is a historic roadway bridge in Philadelphia, Pennsylvania, known for carrying Krewstown Road across Pennypack Creek within Pennypack Park.

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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11853511dc81909a605092ff8ab837 completed May 23, 2026, 10:45 a.m.
NEDg Description generation batch_6a11861e622c8190a73ab247d696435a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186bd48e48190a397267a101ef076 completed May 23, 2026, 10:51 a.m.
Created at: April 17, 2026, 5:17 p.m.