Triple

T25901285
Position Surface form Disambiguated ID Type / Status
Subject Boston Naval Shipyard E652619 entity
Predicate hasPart P35 FINISHED
Object Pier 48
Pier 48 is a historic waterfront pier within the Boston Naval Shipyard, associated with the shipbuilding and maritime operations of the former U.S. Navy facility in Boston, Massachusetts.
E1828928 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: Pier 48 | Statement: [Boston Naval Shipyard, hasPart, Pier 48]
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: Pier 48
Triple: [Boston Naval Shipyard, hasPart, Pier 48]
Generated description
Pier 48 is a historic waterfront pier within the Boston Naval Shipyard, associated with the shipbuilding and maritime operations of the former U.S. Navy facility in Boston, Massachusetts.

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_69e7ab3d3f8481909bc53ed64c06af33 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6038950948190a64ecb98ebcca94b completed May 2, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc34da4ac8190a252d8f935c07e65 completed May 31, 2026, 11:25 p.m.
NEDg Description generation batch_6a1cc42a1b08819092125b1f3d09f2ca completed May 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc4e253288190bb4e761d17423cbf completed May 31, 2026, 11:31 p.m.
Created at: April 22, 2026, 8:26 a.m.