Triple

T25607764
Position Surface form Disambiguated ID Type / Status
Subject Akhaioi E641959 entity
Predicate romanization P2508 FINISHED
Object Achaioi
Achaioi is the Latinized form of "Akhaioi," an ancient Greek term traditionally used to refer to the Greeks, especially in Homeric epic poetry.
E1687939 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: Achaioi | Statement: [Akhaioi, romanization, Achaioi]
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: Achaioi
Triple: [Akhaioi, romanization, Achaioi]
Generated description
Achaioi is the Latinized form of "Akhaioi," an ancient Greek term traditionally used to refer to the Greeks, especially in Homeric epic poetry.

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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9e0d2e88190b51e1eded1627f94 completed May 2, 2026, 1:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b77486c88190a6b23c75dede7cb6 completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b8652614819087580690269f6a3a completed May 22, 2026, 8:11 p.m.
NED2 Entity disambiguation (via description) batch_6a10b99e39b08190abbe927b4916c0ee completed May 22, 2026, 8:16 p.m.
Created at: April 21, 2026, 4:39 p.m.