Triple

T21208082
Position Surface form Disambiguated ID Type / Status
Subject Lümanda municipality E522641 entity
Predicate administrativeCentre P1474 FINISHED
Object Lümanda
Lümanda is a small village on Saaremaa Island in western Estonia that serves as a local administrative and community center.
 E1472153 NE FINISHED

How this triple was built (4 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: Lümanda | Statement: [Lümanda municipality, administrativeCentre, Lümanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lümanda
Context triple: [Lümanda municipality, administrativeCentre, Lümanda]
  • A. La Raie
    La Raie is the French title of the 1982 American horror anthology film "Creepshow."
  • B. Sauviat
    Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
  • C. Pomorie
    Pomorie is a Bulgarian Black Sea coastal town and resort known for its salt production, mud therapy, and historic monastery.
  • D. Svět Pond
    Svět Pond is a large historic fishpond and popular recreational water body located near Třeboň in the South Bohemian Region of the Czech Republic.
  • E. Tjenenyet
    Tjenenyet is an ancient Egyptian goddess associated with protection and often linked to the war god Montu as his consort.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lümanda
Triple: [Lümanda municipality, administrativeCentre, Lümanda]
Generated description
Lümanda is a small village on Saaremaa Island in western Estonia that serves as a local administrative and community center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lümanda
Target entity description: Lümanda is a small village on Saaremaa Island in western Estonia that serves as a local administrative and community center.
  • A. La Raie
    La Raie is the French title of the 1982 American horror anthology film "Creepshow."
  • B. Sauviat
    Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
  • C. Pomorie
    Pomorie is a Bulgarian Black Sea coastal town and resort known for its salt production, mud therapy, and historic monastery.
  • D. Svět Pond
    Svět Pond is a large historic fishpond and popular recreational water body located near Třeboň in the South Bohemian Region of the Czech Republic.
  • E. Tjenenyet
    Tjenenyet is an ancient Egyptian goddess associated with protection and often linked to the war god Montu as his consort.
  • F. None of above. chosen

Provenance (5 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734362c788190bc1b96d3b84c0ad1 completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed2c0b48190bcaf2937004abbfd completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a0980329bb4819088da49aec70f27a0 completed May 17, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0981b76b108190a0c9ae60c81bd4fc completed May 17, 2026, 8:52 a.m.
Created at: April 16, 2026, 3:25 p.m.