Triple

T20270559
Position Surface form Disambiguated ID Type / Status
Subject Benicarló E499080 entity
Predicate hasDemonym P191 FINISHED
Object benicarlanda
Benicarlanda is the Spanish demonym for a female inhabitant or native of the town of Benicarló in the Valencian Community.
 E1419974 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: benicarlanda | Statement: [Benicarló, hasDemonym, benicarlanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: benicarlanda
Context triple: [Benicarló, hasDemonym, benicarlanda]
  • A. Bocenago
    Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • B. Bonario
    Bonario is a virtuous young gentleman in Ben Jonson’s satirical play "Volpone," serving as a moral foil to the play’s corrupt characters.
  • C. Badia
    Badia is a mountain village and municipality in the Dolomites of South Tyrol in northern Italy, known for its Ladin culture and alpine tourism.
  • D. Badia
    Badia is a Catalan surname commonly found in Spain and other Spanish-speaking regions.
  • E. Belardo
    Belardo is the surname of Lenny Belardo, the fictional young pope at the center of Paolo Sorrentino’s television series "The Young Pope."
  • 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: benicarlanda
Triple: [Benicarló, hasDemonym, benicarlanda]
Generated description
Benicarlanda is the Spanish demonym for a female inhabitant or native of the town of Benicarló in the Valencian Community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: benicarlanda
Target entity description: Benicarlanda is the Spanish demonym for a female inhabitant or native of the town of Benicarló in the Valencian Community.
  • A. Bocenago
    Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • B. Bonario
    Bonario is a virtuous young gentleman in Ben Jonson’s satirical play "Volpone," serving as a moral foil to the play’s corrupt characters.
  • C. Badia
    Badia is a mountain village and municipality in the Dolomites of South Tyrol in northern Italy, known for its Ladin culture and alpine tourism.
  • D. Badia
    Badia is a Catalan surname commonly found in Spain and other Spanish-speaking regions.
  • E. Belardo
    Belardo is the surname of Lenny Belardo, the fictional young pope at the center of Paolo Sorrentino’s television series "The Young Pope."
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dd7c58819095bbf4baeda04d6a completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08553934dc8190bbfc93d01dbff4a4 completed May 16, 2026, 11:30 a.m.
NEDg Description generation batch_6a0855b26f0081909c2b74b888e0cd25 completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a08567e39548190bd201d744e5fa7e9 completed May 16, 2026, 11:35 a.m.
Created at: April 11, 2026, 11:42 p.m.