Triple

T16268685
Position Surface form Disambiguated ID Type / Status
Subject Lot Valley E394939 entity
Predicate partOfDepartment P1467 FINISHED
Object Lot E85346 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: Lot | Statement: [Lot Valley, partOfDepartment, Lot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lot
Context triple: [Lot Valley, partOfDepartment, Lot]
  • A. Lot
    Lot is a prophet in the Abrahamic tradition known for preaching against the immoral practices of his people and for the divine destruction of the cities of Sodom and Gomorrah.
  • B. Lot
    Lot is a river in southwestern France known for flowing through scenic valleys and historic towns before joining the Garonne.
  • C. Lot chosen
    Lot is a department in southwestern France known for its picturesque river valleys, medieval villages, and prehistoric cave art.
  • D. LOT
    LOT is the national flag carrier airline of Poland, headquartered in Warsaw and operating an extensive network of domestic and international flights.
  • E. Land
    Land is a municipality in Innlandet county, Norway, known for its rural landscapes and proximity to Randsfjorden.
  • 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: partOfDepartment
Context triple: [Lot Valley, partOfDepartment, Lot]
  • A. basedInDepartment
    Indicates that an entity operates or has its primary affiliation within a specific department.
  • B. worksInDepartment
    Indicates that an entity is employed in and performs their job duties within a particular department.
  • C. department chosen
    Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
  • D. laterDepartment
    Indicates that one department occurs or is considered after another in a defined ordering or sequence.
  • E. propDepartment
    Indicates that one entity functions as a department or organizational subdivision associated with another entity.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245ca5c708190a1e98ab37740c032 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bb1d64819080f007656307f58b completed May 10, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69e219f259e88190bf49d8408c04178e completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:05 a.m.