Triple

T20329555
Position Surface form Disambiguated ID Type / Status
Subject Gordon Douglas E492436 entity
Predicate notableWork P4 FINISHED
Object Fort Dobbs NE NERFINISHED

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: Fort Dobbs | Statement: [Gordon Douglas, notableWork, Fort Dobbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Dobbs
Context triple: [Gordon Douglas, notableWork, Fort Dobbs]
  • A. Fort Dobbs State Historic Site chosen
    Fort Dobbs State Historic Site is a reconstructed French and Indian War-era frontier fort and museum in North Carolina that interprets colonial military history and frontier life.
  • B. Fort Pickering
    Fort Pickering is a historic coastal fortification in Salem, Massachusetts, that once served as a key defensive site guarding the harbor.
  • C. Fort Döse
    Fort Döse is a historic coastal fortification in the Cuxhaven district of Döse in northern Germany, built to defend the Elbe estuary and North Sea approaches.
  • D. Fort Sewall
    Fort Sewall is a historic coastal fortification and public park in Marblehead, Massachusetts, notable for its role in early American military defense and its scenic harbor views.
  • E. Fort De Soto
    Fort De Soto is a historic coastal fortification in Florida that once served as a U.S. military defense installation and now forms the centerpiece of a popular county park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e6f5d08190bedf376bbb999ebc completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.