Triple

T9863156
Position Surface form Disambiguated ID Type / Status
Subject Point Richmond E239765 entity
Predicate hasLandmark P105 FINISHED
Object Keller Beach E239767 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: Keller Beach | Statement: [Point Richmond, hasLandmark, Keller Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keller Beach
Context triple: [Point Richmond, hasLandmark, Keller Beach]
  • A. Keller Beach chosen
    Keller Beach is a small public beach and waterfront recreation area on the San Francisco Bay in Richmond, California.
  • B. Gulfton
    Gulfton is a densely populated, ethnically diverse neighborhood in southwest Houston known for its large apartment complexes and vibrant immigrant communities.
  • C. Marin City
    Marin City is an unincorporated, historically diverse community in southern Marin County, California, located near Sausalito just north of the Golden Gate Bridge.
  • D. Grahamston
    Grahamston is a district of Falkirk, Scotland, historically known as a residential and industrial area closely linked to the town’s railway and canal networks.
  • E. Beachmont
    Beachmont is a Massachusetts Bay Transportation Authority rapid transit station on the Blue Line serving the Beachmont neighborhood of Revere, Massachusetts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b7b81c81909a84f6ced829f394 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eadd95ac81909a265db37b648df0 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:35 p.m.