Triple
T1410527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirzapur |
E31791
|
entity |
| Predicate | riverBankSettlement |
P25281
|
FINISHED |
| Object | right bank of the Ganges River |
—
|
LITERAL 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: right bank of the Ganges River | Statement: [Mirzapur, riverBankSettlement, right bank of the Ganges River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverBankSettlement Context triple: [Mirzapur, riverBankSettlement, right bank of the Ganges River]
-
A.
settlementSystem
Indicates a relationship where a settlement is organized, governed, or structured according to a particular administrative or territorial system.
-
B.
riverBankOnOneSide
chosen
Indicates that a river flows adjacent to and borders only one side of a specified bank or land area.
-
C.
settlementVenue
Indicates the place or institution where a settlement (such as a legal, financial, or dispute resolution agreement) is formally carried out or finalized.
-
D.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
E.
hasLandmarkOnBank
Indicates that a landmark is located on the bank (shore or edge) of a geographic feature such as a river, lake, or canal.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e0bfd08190a50820bc7585c28f |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.