Triple

T16060513
Position Surface form Disambiguated ID Type / Status
Subject Baix Camp E389596 entity
Predicate containsMunicipality P852 FINISHED
Object La Febró
La Febró is a small rural municipality in the Baix Camp comarca of Catalonia, Spain, known for its mountainous landscape and natural surroundings.
 E1191108 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: La Febró | Statement: [Baix Camp, containsMunicipality, La Febró]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Febró
Context triple: [Baix Camp, containsMunicipality, La Febró]
  • A. La Folliaz
    La Folliaz is a small Swiss municipality located in the canton of Fribourg, known for its rural character and agricultural landscape.
  • B. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • C. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • D. La Redole
    La Redole is a waterfall located in the commune of Gimel-les-Cascades in central France, known as part of the area's scenic cascade system.
  • E. Socuéllamos
    Socuéllamos is a Spanish town and municipality in the autonomous community of Castilla-La Mancha, known for its extensive wine production and agricultural economy.
  • 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: La Febró
Triple: [Baix Camp, containsMunicipality, La Febró]
Generated description
La Febró is a small rural municipality in the Baix Camp comarca of Catalonia, Spain, known for its mountainous landscape and natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Febró
Target entity description: La Febró is a small rural municipality in the Baix Camp comarca of Catalonia, Spain, known for its mountainous landscape and natural surroundings.
  • A. La Folliaz
    La Folliaz is a small Swiss municipality located in the canton of Fribourg, known for its rural character and agricultural landscape.
  • B. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • C. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • D. La Redole
    La Redole is a waterfall located in the commune of Gimel-les-Cascades in central France, known as part of the area's scenic cascade system.
  • E. Socuéllamos
    Socuéllamos is a Spanish town and municipality in the autonomous community of Castilla-La Mancha, known for its extensive wine production and agricultural economy.
  • 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.