Triple

T10321998
Position Surface form Disambiguated ID Type / Status
Subject Injuids E242157 entity
Predicate territorialCenter P50268 FINISHED
Object Fars E263396 NE FINISHED

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: Fars | Statement: [Injuids, territorialCenter, Fars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fars
Context triple: [Injuids, territorialCenter, Fars]
  • A. Fars
    Fars is a historic province in southwestern Iran regarded as the cultural heartland of the Persian people and the birthplace of the Persian language.
  • B. Khorasan
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • C. Fars Province chosen
    Fars Province is a historically significant region in southwestern Iran, regarded as the cultural heartland of the Persian civilization and home to major ancient sites such as Persepolis and Pasargadae.
  • D. Khuzestan
    Khuzestan is an oil-rich, ethnically diverse province in southwestern Iran, known historically as part of ancient Elam and as a major battleground during the Iran–Iraq War.
  • E. Iliou Persis
    Iliou Persis is an ancient Greek epic poem, now lost, that narrated the sack and destruction of Troy as part of the wider Trojan cycle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc1b0488190ac04da58a4987da0 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794f3a130819095a8befd8fa3a9f0 completed April 9, 2026, noon
Created at: April 6, 2026, 11:50 a.m.