Triple

T10769185
Position Surface form Disambiguated ID Type / Status
Subject Vallès Oriental E254029 entity
Predicate contains P35 FINISHED
Object Tagamanent
Tagamanent is a small municipality in Catalonia, Spain, known for its rural landscape and location within the Montseny Natural Park.
 E884779 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: Tagamanent | Statement: [Vallès Oriental, contains, Tagamanent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tagamanent
Context triple: [Vallès Oriental, contains, Tagamanent]
  • A. Wagaman
    Wagaman is a residential suburb located in the northern suburbs of Darwin in Australia's Northern Territory.
  • B. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • C. Bamanankan
    Bamanankan is a Mande language widely spoken in Mali and neighboring West African countries, particularly by the Bambara people.
  • D. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • E. Tatsugō
    Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
  • 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: Tagamanent
Triple: [Vallès Oriental, contains, Tagamanent]
Generated description
Tagamanent is a small municipality in Catalonia, Spain, known for its rural landscape and location within the Montseny Natural Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tagamanent
Target entity description: Tagamanent is a small municipality in Catalonia, Spain, known for its rural landscape and location within the Montseny Natural Park.
  • A. Wagaman
    Wagaman is a residential suburb located in the northern suburbs of Darwin in Australia's Northern Territory.
  • B. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • C. Bamanankan
    Bamanankan is a Mande language widely spoken in Mali and neighboring West African countries, particularly by the Bambara people.
  • D. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • E. Tatsugō
    Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.