Triple

T5064185
Position Surface form Disambiguated ID Type / Status
Subject Lancaster, California E114102 entity
Predicate hasName P744 FINISHED
Object Lancaster E114102 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: Lancaster | Statement: [Lancaster, California, hasName, Lancaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster
Context triple: [Lancaster, California, hasName, Lancaster]
  • A. Lancaster
    Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
  • B. Lancaster chosen
    Lancaster is a city in northern Los Angeles County, California, known for its location in the Antelope Valley of the Mojave Desert and its aerospace and renewable energy industries.
  • C. Lancaster
    The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
  • D. Lancaster
    Lancaster was the original settlement that later developed into the city of Lincoln, the capital of Nebraska.
  • E. Lancaster
    Lancaster is an English surname most famously associated with the American actor Burt Lancaster.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd747756bc8190863c426e6fd6e8f7 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.