Triple
T3467181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Seringapatam |
E73164
|
entity |
| Predicate | effectOnBritish |
P27108
|
FINISHED |
| Object | expansion of British influence in South India |
—
|
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: expansion of British influence in South India | Statement: [Treaty of Seringapatam, effectOnBritish, expansion of British influence in South India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnBritish Context triple: [Treaty of Seringapatam, effectOnBritish, expansion of British influence in South India]
-
A.
resultForGreatBritain
chosen
Indicates the outcome or performance achieved specifically by Great Britain in a given event, context, or measurement.
-
B.
strength_British_side
Indicates the level or measure of military or strategic power possessed by the British side in a given context.
-
C.
strengthBritishForces
Indicates the numerical size or combat capacity of British military forces in a given context or operation.
-
D.
effectOnUnitedStates
Indicates the impact, influence, or consequences that something has on the United States.
-
E.
effectOnSpain
Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb1090188190ac8aafd87dfaa6a7 |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.