Triple
T12646079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farrukhabad |
E302026
|
entity |
| Predicate | historicalRegion |
P915
|
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: [Farrukhabad, historicalRegion, Doab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doab Context triple: [Farrukhabad, historicalRegion, 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.
Nawdba
Nawdba is an ethnic group in northern Togo and neighboring regions, known for speaking the Nawdm language and maintaining distinct cultural traditions.
-
C.
Wadee
Wadee is a given name, likely a variant of the name Wade, used as a personal first name.
-
D.
Abavo
Abavo is a town in Delta State, Nigeria, known as the birthplace of former Nigerian footballer and coach Sunday Oliseh.
-
E.
The Basin
The Basin is a naturally formed granite pothole and popular scenic attraction along the Pemigewasset River in Franconia Notch, New Hampshire.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614cefdc81908cfc4a4d04aa6eda |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687961d88190a605f17425ad7547 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.