Triple
T25284796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amalner railway station |
E633907
|
entity |
| Predicate | mapState |
P158342
|
FINISHED |
| Object | Maharashtra |
—
|
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: Maharashtra | Statement: [Amalner railway station, mapState, Maharashtra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapState Context triple: [Amalner railway station, mapState, Maharashtra]
-
A.
mapsAs
Indicates that one entity serves as a mapping or correspondence to another, typically translating or associating elements from one domain or representation to another.
-
B.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
C.
mapNumber
Indicates a correspondence where each element in one set or collection is assigned a specific numeric value in another set or domain.
-
D.
mapSystem
Indicates a relationship where one system is associated with or represented by a specific map or mapping framework.
-
E.
mapUse
Indicates a relationship where one entity uses, applies, or employs a map (or mapping) to perform an action or achieve a purpose.
- F. None of above. chosen
Provenance (4 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0800a881909bf6099d120338a5 |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:19 p.m.