Triple
T22251834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Fielding |
E549998
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Chandrapore |
—
|
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: Chandrapore | Statement: [Richard Fielding, residence, Chandrapore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandrapore Context triple: [Richard Fielding, residence, Chandrapore]
-
A.
Balashikha
Balashikha is a large suburban city just east of Moscow, known as one of the most populous cities in Moscow Oblast and a significant residential and industrial center in the region.
-
B.
Malgudi
chosen
Malgudi is a fictional South Indian town that serves as the vivid, recurring setting for many of R. K. Narayan’s novels and short stories.
-
C.
Islampur
Islampur is a town in the Indian state of West Bengal, known as a local commercial and administrative center in the northern part of the state.
-
D.
Chandranigahapur
Chandranigahapur is a town in southern Nepal known as a local commercial and transportation hub within the Terai region.
-
E.
Gangabai
Gangabai was the mother of Madhav Rao II, a prominent Maratha Peshwa of the late 18th century.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138befa208190877760dec1896740 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.