Triple

T16060511
Position Surface form Disambiguated ID Type / Status
Subject Baix Camp E389596 entity
Predicate containsMunicipality P852 FINISHED
Object Arbolí
Arbolí is a small municipality in the Baix Camp comarca of Tarragona province in Catalonia, Spain, known for its mountainous landscape and rock-climbing areas.
E1191106 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: Arbolí | Statement: [Baix Camp, containsMunicipality, Arbolí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbolí
Context triple: [Baix Camp, containsMunicipality, Arbolí]
  • A. Laubuca
    Laubuca is a genus of small freshwater cyprinid fishes native to South and Southeast Asia, often found in slow-moving or still waters.
  • B. Punda
    Punda is the historic waterfront district and main commercial center of Willemstad, Curaçao, known for its colorful colonial architecture and shopping streets.
  • C. Bahuchivo
    Bahuchivo is a small town in Mexico’s Copper Canyon region that serves as a key access point for visitors traveling into Urique Canyon.
  • D. Arturito
    Arturito is a Spanish diminutive form of the given name Arturo, typically used as an affectionate nickname.
  • E. Serramazzoni
    Serramazzoni is a small Italian municipality in the Emilia-Romagna region, known for its hilly Apennine landscape and rural character.
  • 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: Arbolí
Triple: [Baix Camp, containsMunicipality, Arbolí]
Generated description
Arbolí is a small municipality in the Baix Camp comarca of Tarragona province in Catalonia, Spain, known for its mountainous landscape and rock-climbing areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arbolí
Target entity description: Arbolí is a small municipality in the Baix Camp comarca of Tarragona province in Catalonia, Spain, known for its mountainous landscape and rock-climbing areas.
  • A. Laubuca
    Laubuca is a genus of small freshwater cyprinid fishes native to South and Southeast Asia, often found in slow-moving or still waters.
  • B. Punda
    Punda is the historic waterfront district and main commercial center of Willemstad, Curaçao, known for its colorful colonial architecture and shopping streets.
  • C. Bahuchivo
    Bahuchivo is a small town in Mexico’s Copper Canyon region that serves as a key access point for visitors traveling into Urique Canyon.
  • D. Arturito
    Arturito is a Spanish diminutive form of the given name Arturo, typically used as an affectionate nickname.
  • E. Serramazzoni
    Serramazzoni is a small Italian municipality in the Emilia-Romagna region, known for its hilly Apennine landscape and rural character.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837850288190910ef37d6484c600 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe88a608190bc0a0cbfdb71e81d completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdce9591c81909e6bb5c13ddf84cd completed May 10, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69ffddb0ff848190ace70b55d9861040 completed May 10, 2026, 1:21 a.m.
Created at: April 10, 2026, 4:57 a.m.