Triple
T3293899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4 road |
E69163
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Chiswick |
E295825
|
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: Chiswick | Statement: [A4 road, passesThrough, Chiswick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiswick Context triple: [A4 road, passesThrough, Chiswick]
-
A.
Chiswick
chosen
Chiswick is a suburban district in West London, England, known for its riverside location along the Thames, historic architecture, and affluent residential character.
-
B.
Teddington
Teddington is a suburban town in southwest London, England, known for its riverside location on the Thames and proximity to several royal parks.
-
C.
Weybridge
Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into London.
-
D.
Burgess Hill
Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
-
E.
Goring-on-Thames
Goring-on-Thames is a picturesque village on the River Thames in South Oxfordshire, England, known for its historic architecture and scenic countryside setting.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb074f35081909dd3c8a09544b5f1 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f070d6081909bc6ae1ce127c3d7 |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.