Triple

T11204843
Position Surface form Disambiguated ID Type / Status
Subject Mangalia E265132 entity
Predicate hasNearbyResort P3449 FINISHED
Object Neptun E839848 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: Neptun | Statement: [Mangalia, hasNearbyResort, Neptun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neptun
Context triple: [Mangalia, hasNearbyResort, Neptun]
  • A. Neptun chosen
    Neptun is a Romanian seaside resort on the Black Sea coast, known for its beaches and tourist facilities.
  • B. Neptune
    Neptune is the Roman god of the sea, freshwater, and horses, often identified with the Greek god Poseidon and depicted wielding a trident.
  • C. Neptune
    Neptune is the eighth and farthest known major planet from the Sun, a cold, blue ice giant characterized by strong winds and a dynamic atmosphere.
  • D. Neptunes
    Neptunes is a music production duo best known for their influential work in hip-hop and pop, consisting of Pharrell Williams and Chad Hugo.
  • E. Neptuni åkrar
    Neptuni åkrar is a distinctive coastal limestone shingle field on the island of Öland in Sweden, known for its barren, moonlike landscape and unique flora.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4972bfbd481908cd0da59389ae17c completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:30 p.m.