Triple
T14685844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutherland |
E344904
|
entity |
| Predicate | nearbySuburb |
P41355
|
FINISHED |
| Object | Loftus |
E728925
|
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: Loftus | Statement: [Sutherland, nearbySuburb, Loftus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loftus Context triple: [Sutherland, nearbySuburb, Loftus]
-
A.
Loftus
Loftus is a given name most notably associated with South African rugby figure Robert Loftus Owen Versfeld, after whom Pretoria’s Loftus Versfeld Stadium is named.
-
B.
Loftus
chosen
Loftus is a small coastal town in North Yorkshire, England, known for its historic mining heritage and proximity to the North York Moors.
-
C.
Eyewitness
Eyewitness is a 1981 American thriller film starring William Hurt and Sigourney Weaver that blends suspense, romance, and mystery around a murder witnessed by a New York City janitor.
-
D.
Frachey
Frachey is a small alpine village in Italy’s Aosta Valley, known as a gateway to the Monterosa Ski area.
-
E.
Betty Hill
Betty Hill is best known as one of the central figures in a famous alleged alien abduction case in the early 1960s, often referred to as the Betty and Barney Hill incident.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56bdb8081909ff86440ba20fb1f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde1876fdc81908a4fe3deebb7ff83 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.