Triple

T4138901
Position Surface form Disambiguated ID Type / Status
Subject Muslim Quarter E89223 entity
Predicate hasGateAccess P1017 FINISHED
Object Lion's Gate E68208 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: Lion's Gate | Statement: [Muslim Quarter, hasGateAccess, Lion's Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lion's Gate
Context triple: [Muslim Quarter, hasGateAccess, Lion's Gate]
  • A. Lion Gate
    Lion Gate is a monumental Hittite city gate at the ancient capital of Hattusa, notable for its large stone-carved lion figures flanking the entrance.
  • B. Lions' Gate chosen
    Lions' Gate is one of the historic entrances to Jerusalem’s Old City, leading directly toward the Temple Mount/Haram al-Sharif area.
  • C. Black Lion Gate
    Black Lion Gate is a notable entrance to Kensington Gardens in London, serving as one of the park’s main access points.
  • D. Crossgates
    Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
  • E. New Gate
    New Gate is one of the historic entrances in the walls of Jerusalem’s Old City, providing access to the Christian Quarter and reflecting late Ottoman-era modifications to the ancient fortifications.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0b2c76fc8190b3cd9facfcd6e427 completed March 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f2e787881908a9721877b0fd4ae completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.