Triple

T25357026
Position Surface form Disambiguated ID Type / Status
Subject Venetian Castle of Astypalaia E635849 entity
Predicate locatedOn P40 FINISHED
Object island of Astypalaia
The island of Astypalaia is a picturesque Greek island in the Aegean Sea, known for its whitewashed hilltop town, Venetian-era castle, and unspoiled beaches.
E1676066 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: island of Astypalaia | Statement: [Venetian Castle of Astypalaia, locatedOn, island of Astypalaia]
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: island of Astypalaia
Triple: [Venetian Castle of Astypalaia, locatedOn, island of Astypalaia]
Generated description
The island of Astypalaia is a picturesque Greek island in the Aegean Sea, known for its whitewashed hilltop town, Venetian-era castle, and unspoiled beaches.

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_69e75a9b7cf481909f2dcdfb37d95ca7 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f49e0263e081909449045f434eac6c completed May 1, 2026, 12:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1075ff65588190a26ead435750dafa completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1076991b208190945d037fd9eef5f2 completed May 22, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a1077d01fa08190b5439eba879538ef completed May 22, 2026, 3:35 p.m.
Created at: April 21, 2026, 1:36 p.m.