Triple
T7044713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzaffarnagar region |
E163602
|
entity |
| Predicate | culturalRegion |
P1968
|
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: [Muzaffarnagar region, culturalRegion, Doab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doab Context triple: [Muzaffarnagar region, culturalRegion, 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.
Wadee
Wadee is a given name, likely a variant of the name Wade, used as a personal first name.
-
C.
Abavo
Abavo is a town in Delta State, Nigeria, known as the birthplace of former Nigerian footballer and coach Sunday Oliseh.
-
D.
The Basin
The Basin is a naturally formed granite pothole and popular scenic attraction along the Pemigewasset River in Franconia Notch, New Hampshire.
-
E.
The Basin
The Basin is a popular, sheltered swimming and snorkeling beach on Rottnest Island in Western Australia, known for its clear turquoise water and white sand.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e23730888190a827ca5c61c4eed0 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887799f48190b4fa311defd8e9fd |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.