Triple

T24554308
Position Surface form Disambiguated ID Type / Status
Subject Fox Chase, Philadelphia E607464 entity
Predicate borderedBy P224 FINISHED
Object Rockledge, Pennsylvania
Rockledge, Pennsylvania is a small suburban borough in Montgomery County, just outside Northeast Philadelphia, known for its residential character and proximity to the city.
E1669603 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: Rockledge, Pennsylvania | Statement: [Fox Chase, Philadelphia, borderedBy, Rockledge, Pennsylvania]
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: Rockledge, Pennsylvania
Triple: [Fox Chase, Philadelphia, borderedBy, Rockledge, Pennsylvania]
Generated description
Rockledge, Pennsylvania is a small suburban borough in Montgomery County, just outside Northeast Philadelphia, known for its residential character and proximity to the city.

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_69e2c4cae1b88190825e88d5ce8aa61e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8f13d4c81909ffecf8c26d272f0 completed April 30, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10679710708190b9286c00d265f7f6 completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a106844f694819082bb12621dcb700b completed May 22, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a1068b5f1048190a4ff23ddfd76abd6 completed May 22, 2026, 2:31 p.m.
Created at: April 18, 2026, 2:27 a.m.