Triple

T5901779
Position Surface form Disambiguated ID Type / Status
Subject Bab al-Kalabsha E131242 entity
Predicate reasonForRelocationOfTemple P3057 FINISHED
Object flooding risk from Aswan High Dam reservoir LITERAL 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: flooding risk from Aswan High Dam reservoir | Statement: [Bab al-Kalabsha, reasonForRelocationOfTemple, flooding risk from Aswan High Dam reservoir]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForRelocationOfTemple
Context triple: [Bab al-Kalabsha, reasonForRelocationOfTemple, flooding risk from Aswan High Dam reservoir]
  • A. reasonForRelocation chosen
    Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
  • B. movedAshokaPillars
    Indicates that an entity relocated one or more Ashoka pillars from their original location to a different place.
  • C. majorTempleLocation
    Indicates that a major temple associated with an entity is located at a specified place.
  • D. relocatedToNaraInYear
    Indicates that an entity moved its location to Nara in the specified year.
  • E. associatedTemple
    Indicates a relationship where one entity is linked or connected to a particular temple, typically as its relevant or related religious site.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0400f1af881908d376ea4793f6dea completed March 22, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69c0334dc8248190b7394dcece362d52 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:58 p.m.