Triple

T30696443
Position Surface form Disambiguated ID Type / Status
Subject Itamaracá Island E781480 entity
Predicate hasFort P3479 FINISHED
Object Forte de Santa Cruz de Itamaracá
Forte de Santa Cruz de Itamaracá is a historic coastal fortification in Pernambuco, Brazil, built during the colonial period to defend the region and its strategic maritime routes.
E1927354 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: Forte de Santa Cruz de Itamaracá | Statement: [Itamaracá Island, hasFort, Forte de Santa Cruz de Itamaracá]
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: Forte de Santa Cruz de Itamaracá
Triple: [Itamaracá Island, hasFort, Forte de Santa Cruz de Itamaracá]
Generated description
Forte de Santa Cruz de Itamaracá is a historic coastal fortification in Pernambuco, Brazil, built during the colonial period to defend the region and its strategic maritime routes.

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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68bdb794081908300432bee61bcf6 completed May 2, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a287111ec348190ada26cf726bafe78 completed June 9, 2026, 8:01 p.m.
NEDg Description generation batch_6a2875e84bf881909c837b369a1b3c97 completed June 9, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a28766648b081909025200756061c34 completed June 9, 2026, 8:24 p.m.
Created at: April 29, 2026, 8:34 p.m.