Triple
T8238616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorkha Kingdom |
E192472
|
entity |
| Predicate | unificationOf |
P7838
|
FINISHED |
| Object | many petty hill principalities in the central Himalayas |
—
|
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: many petty hill principalities in the central Himalayas | Statement: [Gorkha Kingdom, unificationOf, many petty hill principalities in the central Himalayas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unificationOf Context triple: [Gorkha Kingdom, unificationOf, many petty hill principalities in the central Himalayas]
-
A.
unificationType
Indicates the specific manner or category in which two or more entities are combined, merged, or treated as a single unified whole.
-
B.
unites
Indicates that one entity brings together multiple entities into a single, cohesive whole or shared state.
-
C.
unificationPossible
Indicates that two entities can be combined or reconciled into a single, consistent representation under a shared set of constraints or rules.
-
D.
wasUnifiedWith
chosen
Indicates that two or more previously separate entities were brought together to form a single unified whole.
-
E.
unificationLedTo
Indicates that a process of unifying previously separate entities resulted in or caused a particular outcome or state.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783a8cf48190bf85394fd3bd79e2 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.