Triple
T15158644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gita Chandra |
E362148
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Ealing |
—
|
NE NERFINISHED |
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: Ealing | Statement: [Gita Chandra, residence, Ealing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ealing Context triple: [Gita Chandra, residence, Ealing]
-
A.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
-
B.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
-
C.
Barnet
Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
-
D.
Willesden
Willesden is a residential district in the London Borough of Brent, known for its diverse community and good transport links in northwest London.
-
E.
Ealing, London
chosen
Ealing, London is a suburban district in West London known for its residential character, green spaces, and role as a filming location in British television and cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
Created at: April 10, 2026, 3:08 a.m.