Triple

T27298343
Position Surface form Disambiguated ID Type / Status
Subject Patrick Hillery E688828 entity
Predicate birthPlace P1 FINISHED
Object Spanish Point, County Clare, Ireland
Spanish Point in County Clare, Ireland, is a small coastal village on the Atlantic known for its scenic beaches, surfing conditions, and historic links to the Spanish Armada.
 E1768403 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: Spanish Point, County Clare, Ireland | Statement: [Patrick Hillery, birthPlace, Spanish Point, County Clare, Ireland]
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: Spanish Point, County Clare, Ireland
Triple: [Patrick Hillery, birthPlace, Spanish Point, County Clare, Ireland]
Generated description
Spanish Point in County Clare, Ireland, is a small coastal village on the Atlantic known for its scenic beaches, surfing conditions, and historic links to the Spanish Armada.

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_69ef355a96308190a2bed991525fb278 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62782b9048190b942a03b3518b863 completed May 2, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129ca92e148190a5ac75069a36a047 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a12a0aad9dc8190a88fe10685f05aaf completed May 24, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_6a12a103cb7c819094c0f575e59cee07 completed May 24, 2026, 6:56 a.m.
Created at: April 27, 2026, 11:20 a.m.