Triple

T14724929
Position Surface form Disambiguated ID Type / Status
Subject Gressy E345913 entity
Predicate locatedNear P294 FINISHED
Object Messy E332679 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: Messy | Statement: [Gressy, locatedNear, Messy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messy
Context triple: [Gressy, locatedNear, Messy]
  • A. Messy
    "Messy" is a musical release (likely a single or EP) that precedes the song "Without You" in the artist’s discography chronology.
  • B. Messy chosen
    Messy is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
  • C. المبعثرة
    المبعثرة هو أحد الأسماء الواردة في التراث الإسلامي لسورة التوبة في القرآن الكريم، ويشير إلى ما فيها من كشف وفضح لأحوال المنافقين وتفريق الصفوف.
  • D. All Messed Up
    "All Messed Up" is a song featured on the album "Run for Cover," likely within the rock or pop-rock genre.
  • E. Clutter
    Clutter is a surname most notably associated with the Kansas family whose 1959 murders were chronicled in Truman Capote’s nonfiction novel "In Cold Blood."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.