Triple
T32134699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maithil |
E820738
|
entity |
| Predicate | concentratedInNepalProvince |
P34972
|
FINISHED |
| Object | Madhesh Province |
—
|
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: Madhesh Province | Statement: [Maithil, concentratedInNepalProvince, Madhesh Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concentratedInNepalProvince Context triple: [Maithil, concentratedInNepalProvince, Madhesh Province]
-
A.
concentratedInProvince
chosen
Indicates that something is primarily located, focused, or densely present within a particular province.
-
B.
concentratedInCountry
Indicates that the majority or primary presence of something (such as activity, resources, or focus) is located within a specific country.
-
C.
entryPointFromNepal
Indicates that something serves as an entry point or access route originating from Nepal.
-
D.
hasPopulationConcentrationIn
Indicates that a population is densely or significantly clustered within a specified geographic area or region.
-
E.
distanceFromKathmandu
Indicates the measured spatial distance between a given location or entity and the city of Kathmandu.
- F. None of above.
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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: May 1, 2026, 12:30 a.m.