Triple

T22842151
Position Surface form Disambiguated ID Type / Status
Subject LNGS E566110 entity
Predicate locatedNear P294 FINISHED
Object Assergi 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: Assergi | Statement: [LNGS, locatedNear, Assergi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assergi
Context triple: [LNGS, locatedNear, Assergi]
  • A. Assergi chosen
    Assergi is a small village in Italy’s Abruzzo region, situated on the slopes of Gran Sasso and known as a gateway to the surrounding national park and mountain research facilities.
  • B. Asserbos
    Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
  • C. Asomante
    Asomante is a rural barrio (district) of the municipality of Aibonito in Puerto Rico, known for its mountainous landscape and cool climate.
  • D. Assino
    Assino is a minor river in central Italy that flows through Umbria before joining the Chiascio River.
  • E. Malauzat
    Malauzat is a small commune in the Puy-de-Dôme department of central France, situated within the Auvergne region.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e855abc8190b9cf8cc515090a7f completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.