Triple

T13400528
Position Surface form Disambiguated ID Type / Status
Subject Benimàmet E319814 entity
Predicate locatedNear P294 FINISHED
Object Beniferri
Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
 E1040812 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: Beniferri | Statement: [Benimàmet, locatedNear, Beniferri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beniferri
Context triple: [Benimàmet, locatedNear, Beniferri]
  • A. Meanguera
    Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
  • B. Cerbillona
    Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
  • C. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • D. Gualba
    Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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: Beniferri
Triple: [Benimàmet, locatedNear, Beniferri]
Generated description
Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beniferri
Target entity description: Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
  • A. Meanguera
    Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
  • B. Cerbillona
    Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
  • C. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • D. Gualba
    Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73983b8f08190bf4d1a64c0beab97 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73cd5c9ec8190a2be4989d304d970 completed May 3, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69f73d489eb0819086fc93a6a851d2f7 completed May 3, 2026, 12:19 p.m.
Created at: April 9, 2026, 9:34 p.m.