Triple
T12750813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moffat |
E304723
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | MOFFAT |
E78702
|
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: [Moffat, hasPostTown, MOFFAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOFFAT Context triple: [Moffat, hasPostTown, MOFFAT]
-
A.
MOFFAT
chosen
MOFFAT is a small spa town and tourist destination in Dumfries and Galloway, southwest Scotland, known for its scenic surroundings and historic wool and coaching industries.
-
B.
Moffat
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.
-
C.
Duffus
Duffus is a historic area in Moray, Scotland, known for its medieval castle and association with the powerful de Moravia (Moray) family.
-
D.
Thirlby
Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
-
E.
Talbot
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
- 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_69f67c98816881909dacdd4f0e2b89c4 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.