Triple

T24137148
Position Surface form Disambiguated ID Type / Status
Subject Province of Munster E598117 entity
Predicate hasHistoricKingdom P19491 FINISHED
Object Kingdom of Ormond
The Kingdom of Ormond was a medieval Irish realm centered in what is now County Tipperary, historically ruled by the O'Brien dynasty as part of the broader political landscape of Munster.
E1627645 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: Kingdom of Ormond | Statement: [Province of Munster, hasHistoricKingdom, Kingdom of Ormond]
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: Kingdom of Ormond
Triple: [Province of Munster, hasHistoricKingdom, Kingdom of Ormond]
Generated description
The Kingdom of Ormond was a medieval Irish realm centered in what is now County Tipperary, historically ruled by the O'Brien dynasty as part of the broader political landscape of Munster.

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_69e288c92e448190ac57034fa0c863ce completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df7d30a0819092ecea0cf58c2332 completed April 29, 2026, 10:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9a489e8819088579c8423725b8e completed May 22, 2026, 3:12 a.m.
NEDg Description generation batch_6a0fcb0d718c81909c02cea23a2bffdc completed May 22, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcbe6adc8819094c7d659d5ee63e3 completed May 22, 2026, 3:22 a.m.
Created at: April 17, 2026, 11:27 p.m.