Triple

T9689073
Position Surface form Disambiguated ID Type / Status
Subject Thunder Gate E234491 entity
Predicate hasLiteralMeaning P3918 FINISHED
Object Thunder Gate E234491 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: Thunder Gate | Statement: [Thunder Gate, hasLiteralMeaning, Thunder Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Gate
Context triple: [Thunder Gate, hasLiteralMeaning, Thunder Gate]
  • A. Thunder Gate chosen
    Thunder Gate is the iconic outer entrance gate to Tokyo’s Sensō-ji Temple, famous for its massive red lantern and statues of protective deities.
  • B. The Gate
    The Gate is a 1910 novel by Japanese author Natsume Sōseki that quietly explores themes of guilt, marriage, and spiritual searching in Meiji-era Japan.
  • C. The Gate
    The Gate is a 1987 supernatural horror film about children who accidentally unleash demonic forces from a mysterious hole in their backyard.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d019d40819095059a4d6167900a completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f79bda081908e7f39822efb780f completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:17 p.m.