Triple

T6636402
Position Surface form Disambiguated ID Type / Status
Subject División de Doctrina E150462 entity
Predicate militaryBranch P253 FINISHED
Object fuerza terrestre E192314 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: fuerza terrestre | Statement: [División de Doctrina, militaryBranch, fuerza terrestre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: fuerza terrestre
Context triple: [División de Doctrina, militaryBranch, fuerza terrestre]
  • A. Fuerza Terrestre chosen
    Fuerza Terrestre is the land combat component of Spain’s armed forces, responsible for ground operations and national defense on Spanish and international missions.
  • B. Zemin
    Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
  • C. Terretektorh
    Terretektorh is an experimental orchestral composition by Iannis Xenakis that spatially distributes musicians around the audience to create an immersive sound environment.
  • D. Erdek
    Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
  • E. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcd9a608190a949eb55766d5701 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e453cb14819093597dda825b4304 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.