Triple

T33030773
Position Surface form Disambiguated ID Type / Status
Subject Curtis Publishing Company Building E845157 entity
Predicate overlooks P1323 FINISHED
Object Washington Square
Washington Square is a historic public park in Philadelphia’s Center City, known for its tree-lined paths, memorials, and role as one of the city’s original five public squares.
E33977 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: Washington Square | Statement: [Curtis Publishing Company Building, overlooks, Washington Square]
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: Washington Square
Triple: [Curtis Publishing Company Building, overlooks, Washington Square]
Generated description
Washington Square is a historic public park in Philadelphia’s Center City, known for its tree-lined paths, memorials, and role as one of the city’s original five public squares.

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_69f34950749c8190ae05cd27adb16d58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d2e496388190b838a395c7553ba3 completed May 3, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f009da548190ae4d1cea73ae09bc completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34fb457f508190b8a48118616e56d6 completed June 19, 2026, 8:18 a.m.
NED2 Entity disambiguation (via description) batch_6a34fbfe4a948190891cb0085c6b5592 completed June 19, 2026, 8:21 a.m.
Created at: May 1, 2026, 1:24 a.m.