Triple

T10547182
Position Surface form Disambiguated ID Type / Status
Subject Saba E248850 entity
Predicate hadVassalOrAlliedStates P7255 FINISHED
Object Qataban E236108 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: Qataban | Statement: [Saba, hadVassalOrAlliedStates, Qataban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qataban
Context triple: [Saba, hadVassalOrAlliedStates, Qataban]
  • A. Qataban chosen
    Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
  • B. Qaʾan
    Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
  • C. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • D. Khardaha
    Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
  • E. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • 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: hadVassalOrAlliedStates
Context triple: [Saba, hadVassalOrAlliedStates, Qataban]
  • A. historicallyAlliedWith
    Indicates that two entities have been political, military, or strategic allies during some period in the past.
  • B. laterAlliesWith
    Indicates that two entities become allies at a later time, after not being allied initially.
  • C. vassalState
    Indicates a relationship where one political entity is subordinate to and under the authority or control of another, typically more powerful, state.
  • D. alliesInWar
    Indicates that two or more parties are cooperating as allies on the same side in a specific war or armed conflict.
  • E. vassalsOf chosen
    Indicates that one entity serves as a subordinate or dependent vassal under the authority or suzerainty of 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52710869c81909b6db1a190825bad completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9344a53fc81909765061d07d0cd20 completed April 10, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69d518fa0b4081909bffc936d78bd77b completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:33 p.m.