Triple

T2500169
Position Surface form Disambiguated ID Type / Status
Subject Thurrock E52445 entity
Predicate containsSettlement P847 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: [Thurrock, containsSettlement, Stanford-le-Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford-le-Hope
Context triple: [Thurrock, containsSettlement, 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. Stanford
    Stanford is a small town in Dutchess County, New York, known for its rural character and scenic Hudson Valley landscapes.
  • C. Stanford
    Stanford is a masculine given name, most commonly used as a first name in English-speaking countries.
  • D. 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.
  • E. Santa Clara University
    Santa Clara University is a private Jesuit Catholic university in Santa Clara, California, known for its strong programs in business, engineering, and the liberal arts.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa0e26481908e383a6d44b3f3d5 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.