Triple

T26110550
Position Surface form Disambiguated ID Type / Status
Subject St. Lawrence St. commercial strip E658679 entity
Predicate locatedAlong P2409 FINISHED
Object St. Lawrence Street
St. Lawrence Street is a notable thoroughfare known for its active commercial strip and local businesses.
 E1770907 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: St. Lawrence Street | Statement: [St. Lawrence St. commercial strip, locatedAlong, St. Lawrence Street]
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: St. Lawrence Street
Triple: [St. Lawrence St. commercial strip, locatedAlong, St. Lawrence Street]
Generated description
St. Lawrence Street is a notable thoroughfare known for its active commercial strip and local businesses.

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_69ee5bc20298819099a42be042eb2349 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6077b10108190b1842436b70f8985 completed May 2, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7a6ff1c8190a68fe003c95ae19c completed May 24, 2026, 7:24 a.m.
NEDg Description generation batch_6a12a9ef43ac819097d5c47108692c15 completed May 24, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a12ab2c6840819085f11be72866c959 completed May 24, 2026, 7:39 a.m.
Created at: April 26, 2026, 8:01 p.m.