Triple

T10724522
Position Surface form Disambiguated ID Type / Status
Subject Naphish E252904 entity
Predicate hasSibling P363 FINISHED
Object Massa E252901 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: Massa | Statement: [Naphish, hasSibling, Massa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massa
Context triple: [Naphish, hasSibling, Massa]
  • A. Massa
    Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
  • B. Massa
    Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
  • C. Massa chosen
    Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • D. Massa Bruta
    Massa Bruta is the popular nickname of Brazilian football club Red Bull Bragantino, reflecting its strong and combative playing style.
  • E. Massi
    Massi is a common Italian diminutive or nickname for the given name Massimiliano.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d46234081908e147638d0cb7e22 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69de847e0ee48190a4c1470fc5296213 completed April 14, 2026, 6:16 p.m.
Created at: April 8, 2026, 9:14 p.m.