Triple

T22702588
Position Surface form Disambiguated ID Type / Status
Subject Legio V Alaudae E561360 entity
Predicate destroyedNear P133872 FINISHED
Object Xanten NE NERFINISHED

How this triple was built (3 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: Xanten | Statement: [Legio V Alaudae, destroyedNear, Xanten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xanten
Context triple: [Legio V Alaudae, destroyedNear, Xanten]
  • A. Xanten chosen
    Xanten is a historic town in western Germany known for its well-preserved Roman archaeological park and medieval architecture.
  • B. Andernach
    Andernach is a historic German town on the Rhine River in Rhineland-Palatinate, known for its medieval architecture and one of the world’s highest cold-water geysers.
  • C. Heinsberg
    Heinsberg is a town in western Germany’s North Rhine-Westphalia near the Dutch border, known as the administrative center of the Heinsberg district.
  • D. Neunkirchen
    Neunkirchen is an industrial town in Austria’s Lower Austria region, known historically for its manufacturing and metalworking industries.
  • E. Neunkirchen
    Neunkirchen is a town in southwestern Germany known as one of the major urban centers and former industrial hubs of the state of Saarland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: destroyedNear
Context triple: [Legio V Alaudae, destroyedNear, Xanten]
  • A. killedNear chosen
    Indicates that one entity killed another in close spatial proximity to a specified location or reference point.
  • B. nearbySettlementDestroyed
    Indicates that a settlement located close to a reference place has been destroyed.
  • C. destroyedFor
    Indicates that one entity was ruined, eliminated, or rendered unusable specifically for the benefit, purpose, or objective of another entity.
  • D. destroyedDuring
    Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
  • E. locationOfDestruction
    Indicates the place where a destruction event occurred or where something was destroyed.
  • F. None of above.

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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:16 p.m.