Triple

T5024641
Position Surface form Disambiguated ID Type / Status
Subject João de Castilho E112943 entity
Predicate regionOfActivity P82 FINISHED
Object Batalha E374154 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: Batalha | Statement: [João de Castilho, regionOfActivity, Batalha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batalha
Context triple: [João de Castilho, regionOfActivity, Batalha]
  • A. Batalha chosen
    Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
  • B. Kampen
    Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
  • 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. Battir
    Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
  • E. Battlecat
    Battlecat is a West Coast hip hop producer and DJ known for his smooth, funk-influenced G-funk sound and work with artists like Snoop Dogg and Xzibit.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736852e88190b69d6561ca7604c3 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9286bb28819095ca0ec858061419 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.