Triple
T12750846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langholm |
E304724
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | LANGHOLM |
E627885
|
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: LANGHOLM | Statement: [Langholm, hasPostTown, LANGHOLM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LANGHOLM Context triple: [Langholm, hasPostTown, LANGHOLM]
-
A.
LANGHOLM
chosen
LANGHOLM is a small town in Dumfries and Galloway, Scotland, known historically for its textile industry and scenic location in the Esk Valley.
-
B.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
C.
Lunde
Lunde is a variant form of the Scandinavian place and surname "Lund," commonly found in Norway and Denmark.
-
D.
Lunde
Lunde is a small village located within Sirdal municipality in Agder county, southern Norway.
-
E.
Molndal
Mölndal is a Swedish city in Västra Götaland County, just south of Gothenburg, known for its industrial heritage and proximity to major research and technology hubs.
- 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.