Triple

T16050572
Position Surface form Disambiguated ID Type / Status
Subject Bab al-Maghariba E389340 entity
Predicate gateFunction P74346 FINISHED
Object entrance to Western Wall prayer area 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: entrance to Western Wall prayer area | Statement: [Bab al-Maghariba, gateFunction, entrance to Western Wall prayer area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gateFunction
Context triple: [Bab al-Maghariba, gateFunction, entrance to Western Wall prayer area]
  • A. gateWeight
    Indicates the weight or importance assigned to a particular gate or transition within a process, model, or system.
  • B. gateType
    Indicates the specific kind or classification of a gate associated with an entity.
  • C. hasCityGateFunction chosen
    Indicates that something serves the role or function of a city gate, such as controlling access, passage, or boundary between a city and its surroundings.
  • D. hasGate
    Indicates that one entity possesses, includes, or is equipped with a gate as part of its structure or configuration.
  • E. openingFunction
    Indicates that one entity serves as the initial or primary function, role, or operation that begins or initiates a process, sequence, or interaction involving another entity.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e18272f2288190a17d45fb01cc2b07 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:56 a.m.