Triple
T16258615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanborough railway station |
E394693
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bladon |
E5311
|
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: Bladon | Statement: [Hanborough railway station, near, Bladon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bladon Context triple: [Hanborough railway station, near, Bladon]
-
A.
Bladon
chosen
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
B.
Bardon
Bardon is a leafy, hilly residential suburb in Brisbane, Queensland, known for its proximity to Mount Coot-tha and its quiet, family-friendly character.
-
C.
Calbraith
Calbraith is the middle name of U.S. naval officer Matthew Calbraith Perry, known for opening Japan to Western trade in the mid-19th century.
-
D.
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
-
E.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c1fa208190995feaeba766b45f |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eebcfe481909822290d3a7b361c |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.