Triple
T12751021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Annan |
E304728
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Moffat |
E304723
|
NE 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: Moffat | Statement: [River Annan, flowsNear, Moffat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moffat Context triple: [River Annan, flowsNear, Moffat]
-
A.
Moffat
chosen
Moffat is a small spa town in Dumfries and Galloway, Scotland, historically known for its wool trade and as a popular tourist destination in the Southern Uplands.
-
B.
Margolyes
Margolyes is the surname of Miriam Margolyes, a renowned British-Australian actress and voice artist known for her work in film, television, and theatre.
-
C.
Tennant
Tennant is a British surname borne by various notable figures in the arts, sciences, and public life.
-
D.
Fosby
Fosby is a settlement that serves as the main local hub and seat of administration for the surrounding Aremark area in Norway.
-
E.
Troughton
Troughton is a British surname most notably associated with actor Patrick Troughton, who played the Second Doctor in the long-running television series Doctor Who.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd75f508190aaae0969f33d1523 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ee2ab4819099194d115d2e5a15 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:27 p.m.