Triple

T11348115
Position Surface form Disambiguated ID Type / Status
Subject Beleriand E268772 entity
Predicate containsRegion P285 FINISHED
Object Falas
Falas is a coastal region in J.R.R. Tolkien’s legendarium, forming the western shoreline of Beleriand and home to important Elven havens.
 E920147 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: Falas | Statement: [Beleriand, containsRegion, Falas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Falas
Context triple: [Beleriand, containsRegion, Falas]
  • A. Fala
    Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
  • B. FALA
    FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
  • C. FALE
    FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
  • D. En fallit
    "En fallit" is a realist drama by Norwegian writer Bjørnstjerne Bjørnson that explores financial ruin, moral responsibility, and social hypocrisy in 19th-century bourgeois society.
  • E. Follaz
    Follaz is a tributary stream of the Dranse river in the Alpine region of eastern France.
  • 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: Falas
Triple: [Beleriand, containsRegion, Falas]
Generated description
Falas is a coastal region in J.R.R. Tolkien’s legendarium, forming the western shoreline of Beleriand and home to important Elven havens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Falas
Target entity description: Falas is a coastal region in J.R.R. Tolkien’s legendarium, forming the western shoreline of Beleriand and home to important Elven havens.
  • A. Fala
    Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
  • B. FALA
    FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
  • C. FALE
    FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
  • D. En fallit
    "En fallit" is a realist drama by Norwegian writer Bjørnstjerne Bjørnson that explores financial ruin, moral responsibility, and social hypocrisy in 19th-century bourgeois society.
  • E. Follaz
    Follaz is a tributary stream of the Dranse river in the Alpine region of eastern France.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea214bb88190bb66f7fd3ef73081 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5438d7b58819093cc1407fefe8ab5 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.