Triple

T12160331
Position Surface form Disambiguated ID Type / Status
Subject Orsett E289685 entity
Predicate locatedNear P294 FINISHED
Object Stanford-le-Hope E168884 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: Stanford-le-Hope | Statement: [Orsett, locatedNear, Stanford-le-Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford-le-Hope
Context triple: [Orsett, locatedNear, Stanford-le-Hope]
  • A. Stanford-le-Hope chosen
    Stanford-le-Hope is a small town in the unitary authority of Thurrock in Essex, England, known as a commuter settlement with rail links into London.
  • B. Standford
    Standford is a small village located within the East Hampshire district of Hampshire in southern England.
  • C. Stanford
    Stanford is a small town in Dutchess County, New York, known for its rural character and scenic Hudson Valley landscapes.
  • D. Stanford
    Stanford is a masculine given name, most commonly used as a first name in English-speaking countries.
  • E. Stanford University
    Stanford University is a prestigious private research university in the San Francisco Bay Area renowned for its academic excellence, innovation, and influence in technology and entrepreneurship.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.