Triple

T3355550
Position Surface form Disambiguated ID Type / Status
Subject Cobb Highway E70595 entity
Predicate passesThrough P225 FINISHED
Object Hay E11959 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: Hay | Statement: [Cobb Highway, passesThrough, Hay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hay
Context triple: [Cobb Highway, passesThrough, Hay]
  • A. Hay chosen
    Hay is a rural service town in the Riverina region of southwestern New South Wales, Australia, known for its agricultural production and historic role as a transport and wool-growing center.
  • B. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • C. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • D. Hail
    Hail is a city and region in northwestern Saudi Arabia known historically as a key oasis and caravan stop in the Najd area.
  • E. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2419a808190a54fc03eeec6e42d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360a07dec819094b0645d0e2a91da completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:13 p.m.