Triple
T1882719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohilkhand |
E39887
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Doab |
E62406
|
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: Doab | Statement: [Rohilkhand, borderedBy, Doab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doab Context triple: [Rohilkhand, borderedBy, Doab]
-
A.
Doab
chosen
Doab is a fertile alluvial region in northern India situated between the Ganges and Yamuna rivers, known for its dense agriculture and historical significance.
-
B.
Doaba
Doaba is a culturally rich region of Punjab in northern India, historically known for its fertile land between the Beas and Sutlej rivers and its significant Punjabi diaspora.
-
C.
Dila
Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
-
D.
Osnos
Osnos is a surname most notably associated with American journalist and author Peter Osnos and his family.
-
E.
Rishra
Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fd4d6881908b8266bdae1517ce |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf5eabd8819089f267db92993033 |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.