Triple
T37219563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lios na Scéithe |
E922837
|
entity |
| Predicate | hasNearbyLough |
P17985
|
FINISHED |
| Object | Upper Lough Erne |
—
|
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: Upper Lough Erne | Statement: [Lios na Scéithe, hasNearbyLough, Upper Lough Erne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyLough Context triple: [Lios na Scéithe, hasNearbyLough, Upper Lough Erne]
-
A.
hasNearbyLake
chosen
Indicates that one entity is located close to or in the vicinity of a lake.
-
B.
hasNearbyLakeRegion
Indicates that one region is located close to a lake or lake-dominated area.
-
C.
hasLoch
Indicates that one entity possesses, contains, or features a loch (lake or sea inlet) as part of its characteristics or composition.
-
D.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
E.
hasLagoon
Indicates that one entity possesses, contains, or is characterized by a lagoon in relation to another entity or location.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
Created at: May 3, 2026, 4:15 p.m.