Triple

T1203065
Position Surface form Disambiguated ID Type / Status
Subject East Sussex E25825 entity
Predicate hasHistoricTown P847 FINISHED
Object Battle E126973 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: Battle | Statement: [East Sussex, hasHistoricTown, Battle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battle
Context triple: [East Sussex, hasHistoricTown, 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 an abstract expressionist painting by American artist Lee Krasner, reflecting her dynamic, gestural style and exploration of emotional intensity.
  • C. Battleground
    "Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
  • D. War
    War is U2’s politically charged 1983 rock album known for its anthemic songs and focus on themes of conflict and social justice.
  • E. Battle for Land
    Battle for Land was a Fascist Italy agricultural and land reclamation initiative aimed at increasing arable land and showcasing the regime’s economic and ideological strength.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbda0b081909c0147121a945e27 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac831703bc8190839deb02075cb8fd completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:46 p.m.