Triple

T24386580
Position Surface form Disambiguated ID Type / Status
Subject Cliffs of Moher E614764 entity
Predicate hasCliffTopPath P156011 FINISHED
Object Cliffs of Moher Coastal Walk
The Cliffs of Moher Coastal Walk is a scenic hiking trail in County Clare, Ireland, offering dramatic cliff-edge views along the Atlantic coastline between the Cliffs of Moher and nearby villages.
 E614764 NE FINISHED

How this triple was built (3 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: Cliffs of Moher Coastal Walk | Statement: [Cliffs of Moher, hasCliffTopPath, Cliffs of Moher Coastal Walk]
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: Cliffs of Moher Coastal Walk
Triple: [Cliffs of Moher, hasCliffTopPath, Cliffs of Moher Coastal Walk]
Generated description
The Cliffs of Moher Coastal Walk is a scenic hiking trail in County Clare, Ireland, offering dramatic cliff-edge views along the Atlantic coastline between the Cliffs of Moher and nearby villages.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCliffTopPath
Context triple: [Cliffs of Moher, hasCliffTopPath, Cliffs of Moher Coastal Walk]
  • A. hasCliff
    Indicates that something possesses or features a steep, high rock face or abrupt vertical drop as part of its structure or environment.
  • B. hasCliffHeight
    Indicates the relationship between a cliff and the measurement of its vertical height.
  • C. hasCliffRoad
    Indicates that one location or area is connected to or characterized by a road that runs along or near a cliff.
  • D. hasCliffs
    Indicates that something possesses or is characterized by the presence of cliffs.
  • E. hasCliffsOn
    Indicates that one entity possesses or features cliffs located along or on the surface of another entity.
  • F. None of above. chosen

Provenance (7 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_69e2d7e362e481909e32fe4ef8269d4f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29454c36c8190b7820dbf5af7b695 completed April 29, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd67e6b148190b1e3ffb6194b32fd completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd785e66c8190971031df082764bf completed May 22, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd83e09ac81909c039cdcf5e2d022 completed May 22, 2026, 4:14 a.m.
PD Predicate disambiguation batch_69f287c4a2b48190b80fb7a3c0e9b018 completed April 29, 2026, 10:35 p.m.
PDg Predicate description generation batch_69f28f4d978c81908310c01def2514cc completed April 29, 2026, 11:07 p.m.
Created at: April 18, 2026, 2:03 a.m.