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 |
—
|
NE NERFINISHED |
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: Cliffs of Moher Coastal Walk | Statement: [Cliffs of Moher, hasCliffTopPath, Cliffs of Moher Coastal Walk]
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 (4 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. |
| 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.