Triple

T37406843
Position Surface form Disambiguated ID Type / Status
Subject Glanum E929154 entity
Predicate excavationCountry P77363 FINISHED
Object France 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: France | Statement: [Glanum, excavationCountry, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: excavationCountry
Context triple: [Glanum, excavationCountry, France]
  • A. countryAtExcavationTime chosen
    Indicates that a specified location or site was within the borders or jurisdiction of a particular country at the time the excavation took place.
  • B. excavatedIn
    Indicates that something (typically an artifact, structure, or site) was uncovered or dug out during an excavation that took place at a specific time or within a specific time period.
  • C. countryOfExcavator
    Indicates that one entity is the country associated with the excavator (such as the nation where the excavator originates, is registered, or is based) used in relation to the other entity.
  • D. excavatedAt
    Indicates that an excavation activity took place at a specific location or site.
  • E. excavatedUnder
    Indicates that one entity was dug out, uncovered, or removed from beneath another entity during an excavation process.
  • 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_69f76ebbf79c8190b85bbcf3a6be57e4 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb9e1845e881908d19158440cf3b87 completed May 6, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69fb8d08d6988190a00794ac26078348 completed May 6, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:16 p.m.