Triple

T37942340
Position Surface form Disambiguated ID Type / Status
Subject Government House, Yerevan E946520 entity
Predicate locatedOn P40 FINISHED
Object Republic Square, Yerevan
Republic Square in Yerevan is the Armenian capital’s central public plaza, renowned for its grand Soviet-era architecture, musical fountains, and role as a focal point for civic life and national events.
E2249268 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: Republic Square, Yerevan | Statement: [Government House, Yerevan, locatedOn, Republic Square, Yerevan]
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: Republic Square, Yerevan
Triple: [Government House, Yerevan, locatedOn, Republic Square, Yerevan]
Generated description
Republic Square in Yerevan is the Armenian capital’s central public plaza, renowned for its grand Soviet-era architecture, musical fountains, and role as a focal point for civic life and national events.

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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbdb390e481908d2d67728172ff86 completed May 6, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4117f811508190838b713f657f1312 completed June 28, 2026, 12:47 p.m.
NEDg Description generation batch_6a4118c579d08190b3820b73a5d6ba1a completed June 28, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_6a4119ee31c88190b3905912affd2620 completed June 28, 2026, 12:56 p.m.
Created at: May 3, 2026, 4:20 p.m.