Triple

T37093098
Position Surface form Disambiguated ID Type / Status
Subject Parnell Square E918479 entity
Predicate contains P35 FINISHED
Object Dublin Writers Museum
The Dublin Writers Museum is a cultural institution in Dublin dedicated to celebrating the lives and works of Ireland’s most famous writers through exhibits of manuscripts, letters, portraits, and personal artifacts.
E2212244 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: Dublin Writers Museum | Statement: [Parnell Square, contains, Dublin Writers Museum]
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: Dublin Writers Museum
Triple: [Parnell Square, contains, Dublin Writers Museum]
Generated description
The Dublin Writers Museum is a cultural institution in Dublin dedicated to celebrating the lives and works of Ireland’s most famous writers through exhibits of manuscripts, letters, portraits, and personal artifacts.

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_69f76e9a48bc8190a3947508d8bca408 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2fd154b881909bef654d8699e375 completed May 6, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdced17c8190965a58b2abf524a0 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3f01acfc84819081e2ab40be73abd3 completed June 26, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_6a3f056761c48190a1ab0a2d2fe71fb1 completed June 26, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:14 p.m.