Triple
T1909020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Place |
E38064
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Charing Cross |
E37711
|
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: Charing Cross | Statement: [Francis Place, residence, Charing Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charing Cross Context triple: [Francis Place, residence, Charing Cross]
-
A.
London Charing Cross
chosen
London Charing Cross is a central London railway terminus and major transport hub located near Trafalgar Square.
-
B.
Charing Cross Underground station
Charing Cross Underground station is a central London Tube station on the Bakerloo and Northern lines, serving the Charing Cross mainline rail terminus and the surrounding West End area.
-
C.
Queen Square
Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
-
D.
St James's Square, London
St James's Square, London is a historic garden square in the St James's district of central London, known for its grand townhouses, diplomatic buildings, and long association with British political and social elites.
-
E.
Vauxhall Station
Vauxhall Station is a major transport hub in south London that serves both National Rail services and the London Underground on the Victoria line.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b55edc8190bce8ac97196939a9 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d2b4848190aef80d6b42b3b64a |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.