Triple

T16290602
Position Surface form Disambiguated ID Type / Status
Subject Lledoner Pelut E395510 entity
Predicate alsoKnownAs P39 FINISHED
Object Lladoner Pelud E395510 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: Lladoner Pelud | Statement: [Lledoner Pelut, alsoKnownAs, Lladoner Pelud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lladoner Pelud
Context triple: [Lledoner Pelut, alsoKnownAs, Lladoner Pelud]
  • A. Lledoner Pelut chosen
    Lledoner Pelut is a red wine grape variety from southern France, closely related to Grenache and valued for producing deeply colored, robust wines with good structure.
  • B. Collipulli
    Collipulli is a town and commune in Chile’s Araucanía Region, known historically for its railway viaduct and its role in regional agriculture and forestry.
  • C. Gwollu
    Gwollu is a town in northwestern Ghana known for its historic slave defense walls and cultural heritage sites.
  • D. The Animal
    The Animal is a 2001 comedy film starring Rob Schneider as a man who develops animal-like abilities after undergoing a radical transplant procedure.
  • E. الفرّاء
    الفرّاء هو نحويّ ولغويّ كوفي بارز من أئمة المدرسة الكوفية في النحو واللغة في العصر العباسي.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2491821d0819086cffdd7551ba85a completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025fd56008190a9cb896e7ea2d26a completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:05 a.m.