Triple

T172134
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Utrecht E3498 entity
Predicate signingLocation P441 FINISHED
Object Utrecht E8157 NE FINISHED

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: Utrecht | Statement: [Treaty of Utrecht, signingLocation, Utrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utrecht
Context triple: [Treaty of Utrecht, signingLocation, Utrecht]
  • A. Utrecht chosen
    Utrecht is a historic city and province in the central Netherlands, known for its medieval old town, canals, and role as a religious and cultural center.
  • B. Nijmegen
    Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
  • C. Groningen
    Groningen is a historic province in the northern Netherlands, known for its university city of the same name, flat landscapes, and rich maritime and agricultural heritage.
  • D. Leiden
    Leiden is a historic Dutch city in South Holland known for its prestigious university, rich cultural heritage, and well-preserved canals and old town.
  • E. Eindhoven
    Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
  • 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: signingLocation
Context triple: [Treaty of Utrecht, signingLocation, Utrecht]
  • A. signatoryOffice
    Indicates the office or organizational unit that formally signs or authorizes a document, agreement, or record.
  • B. placeSigned chosen
    Indicates that an entity has signed or endorsed a document, agreement, or item at a particular place or location.
  • C. signature
    Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
  • D. signatureWork
    Indicates that the work is a defining or most representative creation associated with an entity (such as a person, group, or organization).
  • E. signatureImage
    Indicates that an entity has an associated image that visually represents its signature.
  • F. None of above.

Provenance (4 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25a3f9d188190aacf5791273e2c65 completed Feb. 28, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3eca25d9081909fe6d2ed2cda16d9 completed March 1, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69a25667717c8190bac5108366e2178d completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.