Triple

T30926980
Position Surface form Disambiguated ID Type / Status
Subject Rath of the Synods E787884 entity
Predicate near P350 FINISHED
Object Banqueting Hall at Tara
The Banqueting Hall at Tara is a long, earthwork-lined ceremonial avenue on the Hill of Tara in County Meath, Ireland, traditionally associated with royal feasts and processions of the ancient High Kings.
E1938193 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: Banqueting Hall at Tara | Statement: [Rath of the Synods, near, Banqueting Hall at Tara]
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: Banqueting Hall at Tara
Triple: [Rath of the Synods, near, Banqueting Hall at Tara]
Generated description
The Banqueting Hall at Tara is a long, earthwork-lined ceremonial avenue on the Hill of Tara in County Meath, Ireland, traditionally associated with royal feasts and processions of the ancient High Kings.

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_69f224bfaca88190b9d0dfcc86297fe9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692b9dd6081908ef43228f2a35810 completed May 3, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e46dab3081908ba0332d4a0e277a completed June 10, 2026, 4:13 a.m.
NEDg Description generation batch_6a28e67217d0819088c25b78007a986c completed June 10, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a28e6d1dd80819088b4c72708425be2 completed June 10, 2026, 4:23 a.m.
Created at: April 29, 2026, 8:51 p.m.