Triple
T11575377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helderberg |
E274489
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Strand |
E370161
|
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: Strand | Statement: [Helderberg, locatedNear, Strand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strand Context triple: [Helderberg, locatedNear, Strand]
-
A.
Strand
Strand is a major thoroughfare in central London known for its historic theatres, hotels, and proximity to key landmarks such as Trafalgar Square and the River Thames.
-
B.
Strand
Strand is a surname of Scandinavian and German origin commonly borne by individuals and families in various countries.
-
C.
Strand
chosen
Strand is a municipality in Rogaland county, Norway, known for its scenic fjord landscapes and proximity to the famous Lysefjord.
-
D.
Stranorlar
Stranorlar is a small town in County Donegal, Ireland, situated on the River Finn and forming a twin town with nearby Ballybofey.
-
E.
Strandloper
Strandloper is a historical novel by Alan Garner that reimagines the life of a Cheshire laborer transported to Australia, blending myth, landscape, and identity.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89048120c81908258f984711f7dd4 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713e49f508190b9bad316d68eab42 |
completed | April 21, 2026, 6:06 a.m. |
Created at: April 8, 2026, 9:38 p.m.