Triple

T16451885
Position Surface form Disambiguated ID Type / Status
Subject Regio IV Samnium E399571 entity
Predicate contains P35 FINISHED
Object Histonium E476585 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: Histonium | Statement: [Regio IV Samnium, contains, Histonium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Histonium
Context triple: [Regio IV Samnium, contains, Histonium]
  • A. Histonium chosen
    Histonium was an ancient town in central Italy that served as a key urban center of the Frentani people along the Adriatic coast.
  • B. Heritiera
    Heritiera is a genus of tropical trees, many of which are large coastal or mangrove species valued for their timber and ecological importance.
  • C. Midgham
    Midgham is a small village and civil parish in West Berkshire, England, situated near the town of Thatcham.
  • D. Habsiguda
    Habsiguda is a residential and commercial neighborhood in Hyderabad, India, known for its proximity to research institutions and metro connectivity.
  • E. Leatherhead
    Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045979c588190b6f7b249147f3174 completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.