Triple

T17124061
Position Surface form Disambiguated ID Type / Status
Subject Seeb Palace E415542 entity
Predicate locatedIn P40 FINISHED
Object Seeb E418865 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: Seeb | Statement: [Seeb Palace, locatedIn, Seeb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seeb
Context triple: [Seeb Palace, locatedIn, Seeb]
  • A. Seeb chosen
    Seeb is a coastal town in northern Oman that forms part of the greater Muscat metropolitan area and serves as a residential and commercial hub near the capital.
  • B. Seeb
    Seeb is a Norwegian electronic music production and DJ trio best known internationally for their hit remixes and tropical house-influenced tracks.
  • C. Dunbeg
    Dunbeg is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its proximity to Oban and its scenic Highland surroundings.
  • D. Morat
    Morat is the French name for the bilingual Swiss town of Murten, located on the shores of Lake Murten in the canton of Fribourg.
  • E. Morat
    Morat is a small, lesser-known Caribbean island that forms part of Honduras’s Bay Islands archipelago.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80b7e6881909f7635875549a2f1 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.