Triple

T20660069
Position Surface form Disambiguated ID Type / Status
Subject Royal Yacht Norge E507736 entity
Predicate callsign P1565 FINISHED
Object LITA
LITA is the radio callsign assigned to the Norwegian royal yacht Norge.
 E1442812 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: LITA | Statement: [Royal Yacht Norge, callsign, LITA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LITA
Context triple: [Royal Yacht Norge, callsign, LITA]
  • A. LIAT
    LIAT is a regional airline based in the Caribbean that operates short-haul flights connecting numerous islands across the region.
  • B. LICA
    LICA is a multidisciplinary arts institute at Lancaster University that focuses on contemporary art, design, film, theatre, and related creative practices.
  • C. Liti
    Liti is a town in northern Greece that functions as a local settlement within the Thessaloniki regional area.
  • D. LIEA
    LIEA is the ICAO airport code for Alghero-Fertilia Airport, a commercial airport serving the city of Alghero on the Italian island of Sardinia.
  • E. LICT
    LICT is the ICAO airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in Sicily, Italy.
  • 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: LITA
Triple: [Royal Yacht Norge, callsign, LITA]
Generated description
LITA is the radio callsign assigned to the Norwegian royal yacht Norge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LITA
Target entity description: LITA is the radio callsign assigned to the Norwegian royal yacht Norge.
  • A. LIAT
    LIAT is a regional airline based in the Caribbean that operates short-haul flights connecting numerous islands across the region.
  • B. LICA
    LICA is a multidisciplinary arts institute at Lancaster University that focuses on contemporary art, design, film, theatre, and related creative practices.
  • C. Liti
    Liti is a town in northern Greece that functions as a local settlement within the Thessaloniki regional area.
  • D. LIEA
    LIEA is the ICAO airport code for Alghero-Fertilia Airport, a commercial airport serving the city of Alghero on the Italian island of Sardinia.
  • E. LICT
    LICT is the ICAO airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in Sicily, Italy.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eff7a88190be0bdea227616e02 completed April 20, 2026, 11:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c59bcd4c8190925addae1e67c5b4 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c6b50ea8819083ff85b85b2b6082 completed May 16, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_6a08c7bf78b48190936455734ecf055d completed May 16, 2026, 7:38 p.m.
Created at: April 16, 2026, 11:44 a.m.