Triple

T38122221
Position Surface form Disambiguated ID Type / Status
Subject Peristeri metro station E951967 entity
Predicate followingStationOnLine2 P42146 FINISHED
Object Anthoupoli metro station
Anthoupoli metro station is a station on Line 2 of the Athens Metro serving the Anthoupoli area in the western suburbs of Athens, Greece.
E2257323 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: Anthoupoli metro station | Statement: [Peristeri metro station, followingStationOnLine2, Anthoupoli metro station]
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: Anthoupoli metro station
Triple: [Peristeri metro station, followingStationOnLine2, Anthoupoli metro station]
Generated description
Anthoupoli metro station is a station on Line 2 of the Athens Metro serving the Anthoupoli area in the western suburbs of Athens, 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_69f76f07734c8190814e937e12257a78 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc45ca19f88190afed0e3d61799afc completed May 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a417120153c81908f46927d16425d58 completed June 28, 2026, 7:08 p.m.
NEDg Description generation batch_6a41723c6fec81908b893ed1f2aa6f2b completed June 28, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_6a4172a7022481908d1d149f58145932 completed June 28, 2026, 7:14 p.m.
Created at: May 3, 2026, 4:21 p.m.