Triple

T12011886
Position Surface form Disambiguated ID Type / Status
Subject عكّا E285922 entity
Predicate مدينة_تاريخية P32937 FINISHED
Object نعم 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: نعم | Statement: [عكّا, مدينة_تاريخية, نعم]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: مدينة_تاريخية
Context triple: [عكّا, مدينة_تاريخية, نعم]
  • A. passesHistoricCity
    Indicates that a route, path, or entity travels through or goes by a city recognized for its historical significance.
  • B. focusCityHistory
    Indicates that there is a historical or context-defining relationship between a focal city and its past events, developments, or status.
  • C. ancientCity chosen
    Indicates that the subject is a historically old or long-established city, typically originating from ancient times.
  • D. capitalHistoric
    Indicates that a location has served as a capital city at some point in history, even if it is not the current capital.
  • E. isHistoricCenterOf
    Indicates that a place serves as the historically significant core or original central area of another location, typically a city or town.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d7777481908cd5a001f75e2ee3 completed April 10, 2026, 2:06 p.m.
PD Predicate disambiguation batch_69d902b245cc8190af96a9c2bd9c6250 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:46 p.m.