Triple
T4274578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lough Neagh |
E97018
|
entity |
| Predicate | surfaceAreaRank |
P1170
|
FINISHED |
| Object | largest lake by surface area in the British Isles |
—
|
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: largest lake by surface area in the British Isles | Statement: [Lough Neagh, surfaceAreaRank, largest lake by surface area in the British Isles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceAreaRank Context triple: [Lough Neagh, surfaceAreaRank, largest lake by surface area in the British Isles]
-
A.
surfaceAreaRelative
Indicates the ratio or comparative measure of one entity’s surface area relative to another reference surface area.
-
B.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
C.
depthRank
Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
-
D.
rankInWorldByArea
Indicates the position of an entity in a global ordering based on its total area size.
-
E.
capacityRank
Indicates the relative ordering of entities based on how much capacity (e.g., volume, throughput, or capability) they possess compared 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501abb74819086b2f04ac7a5c114 |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.