Triple

T22084254
Position Surface form Disambiguated ID Type / Status
Subject Battle Museum of Local History E545731 entity
Predicate locatedIn P40 FINISHED
Object Battle NE NERFINISHED

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: Battle | Statement: [Battle Museum of Local History, locatedIn, Battle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battle
Context triple: [Battle Museum of Local History, locatedIn, Battle]
  • A. Battle chosen
    Battle is a historic market town in East Sussex, England, best known as the site of the 1066 Battle of Hastings.
  • B. Combat
    Combat is a classic 1977 Atari video game for the Atari 2600 featuring head-to-head tank and aerial combat in a variety of simple, competitive multiplayer modes.
  • C. Combat
    Combat is an abstract expressionist painting by American artist Lee Krasner, reflecting her dynamic, gestural style and exploration of emotional intensity.
  • D. Combat
    Combat was a prominent clandestine newspaper of the French Resistance during World War II, known for its role in coordinating and inspiring anti-occupation activities.
  • E. Battle Clash
    Battle Clash is a Super Nintendo light gun shooter game that uses the Super Scope accessory to battle giant mechs in first-person combat.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b95e908190bd846f531eb59b50 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:28 p.m.