Triple
T31138936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilyns of Northern Ireland |
E793726
|
entity |
| Predicate | prominenceThreshold |
P28932
|
FINISHED |
| Object | 150 metres |
—
|
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: 150 metres | Statement: [Marilyns of Northern Ireland, prominenceThreshold, 150 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prominenceThreshold Context triple: [Marilyns of Northern Ireland, prominenceThreshold, 150 metres]
-
A.
hasMinimumProminence
chosen
Indicates that an entity meets or exceeds a specified threshold level of prominence or importance within a given context.
-
B.
prominenceInRange
Indicates that the subject has a level of prominence or importance that falls within a specified range or interval.
-
C.
prominence
Indicates that an entity stands out in importance, visibility, or influence relative to others within a given context.
-
D.
prominenceFeature
Indicates that one entity serves as a notable or distinguishing feature that contributes significantly to the prominence or recognizability of another entity.
-
E.
prominenceStatus
Indicates the degree to which something is notable, distinguished, or stands out in importance or visibility relative to others.
- F. None of above.
Provenance (3 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:05 p.m.