Triple
T11446800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moel Siabod |
E271285
|
entity |
| Predicate | relativeHeightRankInWales |
P99334
|
FINISHED |
| Object | among highest Marilyns in Wales |
—
|
LITERAL 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: among highest Marilyns in Wales | Statement: [Moel Siabod, relativeHeightRankInWales, among highest Marilyns in Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeHeightRankInWales Context triple: [Moel Siabod, relativeHeightRankInWales, among highest Marilyns in Wales]
-
A.
rankingInUnitedKingdomByHeight
Indicates the position of an entity in an ordered list based on its height within the United Kingdom.
-
B.
formerRankInUKByHeight
Indicates that an entity previously held a specific rank in the United Kingdom when entities are ordered by height.
-
C.
heightRankWithinStructure
Indicates the relative ordering of an entity’s height compared to other entities within the same structure.
-
D.
hasPopulationRankInUK
Indicates the relative position of an entity’s population size compared to other entities within the United Kingdom.
-
E.
NelsonRank
Indicates a ranking or ordered position assigned according to the Nelson ranking system or criteria.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d800115af08190bba53dd3ff561ca1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.