Triple

T1761828
Position Surface form Disambiguated ID Type / Status
Subject Latium E38673 entity
Predicate mountainRange P648 FINISHED
Object Alban Hills E71692 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: Alban Hills | Statement: [Latium, mountainRange, Alban Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alban Hills
Context triple: [Latium, mountainRange, Alban Hills]
  • A. Alban Hills chosen
    The Alban Hills are a volcanic mountain range southeast of Rome in central Italy, known for their crater lakes, historic towns, and scenic landscapes.
  • B. Egan Range
    The Egan Range is a long, north–south trending mountain range in eastern Nevada known for its rugged terrain and high desert landscapes.
  • C. Orroral Valley
    Orroral Valley is a scenic, historically significant valley in the Australian Capital Territory known for its natural landscapes, Aboriginal heritage sites, and former space tracking station.
  • D. Vaucluse Plateau
    Vaucluse Plateau is a limestone highland region in southeastern France known for its karst landscapes, springs, and picturesque Provençal scenery.
  • E. Tama Hills
    Tama Hills is a hilly, wooded area in western Tokyo and Kanagawa Prefecture known for its parks, residential neighborhoods, and natural landscapes on the outskirts of the Tokyo metropolitan region.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6463ac0081909e9ebe6ebf1db857 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c4f7cc8190a60d3bd276711b27 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.