Triple

T30164549
Position Surface form Disambiguated ID Type / Status
Subject Temple of Ningirsu at Girsu E766760 entity
Predicate countryPresentDay P190072 FINISHED
Object Iraq 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: Iraq | Statement: [Temple of Ningirsu at Girsu, countryPresentDay, Iraq]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryPresentDay
Context triple: [Temple of Ningirsu at Girsu, countryPresentDay, Iraq]
  • A. countryCurrently
    Indicates that an entity is presently located in or associated with a specific country.
  • B. presentDayCountryOfTerritory chosen
    Indicates the modern sovereign country that currently governs or contains the referenced territory.
  • C. countryAtTheTime
    Indicates that an entity is associated with a specific country as it existed at a particular point in time.
  • D. presentDayTerritoryOf
    Indicates that one entity is the modern-day territorial equivalent or current geographic area corresponding to another (typically historical) entity.
  • E. countryActive
    Indicates that a country is currently functioning, recognized, or engaged as an active political or operational entity within a given context.
  • 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_69f2247a968881909d79c18f2bfcb275 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69ff5b233e9c8190adc06cca0758986b completed May 9, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69ff5a5682108190a006b23c4fcdcc7c completed May 9, 2026, 4:01 p.m.
Created at: April 29, 2026, 7:22 p.m.