Triple

T33047600
Position Surface form Disambiguated ID Type / Status
Subject Tocco of Epirus E845636 entity
Predicate heldTitle P8 FINISHED
Object Lord of Leukas
Lord of Leukas was a medieval noble title associated with the island of Leukas (Lefkada) in the Ionian Sea, held by members of the Tocco family during their rule in western Greece.
E2034332 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: Lord of Leukas | Statement: [Tocco of Epirus, heldTitle, Lord of Leukas]
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: Lord of Leukas
Triple: [Tocco of Epirus, heldTitle, Lord of Leukas]
Generated description
Lord of Leukas was a medieval noble title associated with the island of Leukas (Lefkada) in the Ionian Sea, held by members of the Tocco family during their rule in western Greece.

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_69f3495242e48190996a2cb2beab5455 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d33b08b8819085ede5aea169ac81 completed May 3, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e51a47c48190bd33c3fb8e0b70ce completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e60ea2148190aca7cc32e7d2b9d9 completed June 19, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a34e6d01ce08190b4edfcda322afae0 completed June 19, 2026, 6:50 a.m.
Created at: May 1, 2026, 1:24 a.m.