Triple

T36684397
Position Surface form Disambiguated ID Type / Status
Subject Porto Covo beaches E905775 entity
Predicate hasBeach P1922 FINISHED
Object Praia da Ilha do Pessegueiro
Praia da Ilha do Pessegueiro is a scenic Atlantic beach on Portugal’s Alentejo coast, known for its views of Pessegueiro Island and its relatively wild, unspoiled setting.
E2200426 NE FINISHED

How this triple was built (2 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: Praia da Ilha do Pessegueiro | Statement: [Porto Covo beaches, hasBeach, Praia da Ilha do Pessegueiro]
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: Praia da Ilha do Pessegueiro
Triple: [Porto Covo beaches, hasBeach, Praia da Ilha do Pessegueiro]
Generated description
Praia da Ilha do Pessegueiro is a scenic Atlantic beach on Portugal’s Alentejo coast, known for its views of Pessegueiro Island and its relatively wild, unspoiled setting.

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_69f76e7011dc819082b324f18b756a1b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c7c286088190acc06f613b9252e8 completed May 3, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde4da7f48190a3348d69aaa1ec15 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3de22a8a1c8190aa4a1a56a2507be8 completed June 26, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3de76359f8819081d3c2aa04cd5226 completed June 26, 2026, 2:43 a.m.
Created at: May 3, 2026, 4:12 p.m.