Triple

T6366593
Position Surface form Disambiguated ID Type / Status
Subject Gran Sasso National Laboratory E143243 entity
Predicate near P350 FINISHED
Object Assergi
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.
 E588244 NE FINISHED

How this triple was built (4 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: [Gran Sasso National Laboratory, near, Assergi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Assergi
Context triple: [Gran Sasso National Laboratory, near, Assergi]
  • A. Asserbos
    Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
  • B. Assino
    Assino is a minor river in central Italy that flows through Umbria before joining the Chiascio River.
  • C. Lokasenna
    Lokasenna is an Old Norse mythological poem in which the trickster god Loki insults and exposes the secrets of the other gods during a feast.
  • D. Ateste
    Ateste is the ancient name of the Italian town of Este, historically significant as a center of the Venetic civilization in northern Italy.
  • E. Assante
    Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Assergi
Triple: [Gran Sasso National Laboratory, near, Assergi]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Assergi
Target entity description: 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.
  • A. Asserbos
    Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
  • B. Assino
    Assino is a minor river in central Italy that flows through Umbria before joining the Chiascio River.
  • C. Lokasenna
    Lokasenna is an Old Norse mythological poem in which the trickster god Loki insults and exposes the secrets of the other gods during a feast.
  • D. Ateste
    Ateste is the ancient name of the Italian town of Este, historically significant as a center of the Venetic civilization in northern Italy.
  • E. Assante
    Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
  • F. None of above. chosen

Provenance (5 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06811de2881909ead116117956981 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8059588190a7d052889b25a8b6 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62e8a7dd48190950b220460eb2d6f completed March 27, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_69c62ee892208190b3b005a9bd41b744 completed March 27, 2026, 7:16 a.m.
Created at: March 22, 2026, 4:32 p.m.