Triple
T16027975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Two Sisters |
E388766
|
entity |
| Predicate | forceTypeSide2 |
P1062
|
FINISHED |
| Object | Argentine conscript infantry |
—
|
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: Argentine conscript infantry | Statement: [Battle of Two Sisters, forceTypeSide2, Argentine conscript infantry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forceTypeSide2 Context triple: [Battle of Two Sisters, forceTypeSide2, Argentine conscript infantry]
-
A.
forcesSide2
Indicates that one entity compels or coerces another entity to take or remain on a particular side or position in a situation or conflict.
-
B.
forceType
chosen
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
-
C.
side2Strength
Indicates the magnitude or level of strength associated with the second side in a relationship, comparison, or interaction.
-
D.
forceDirection
Indicates the direction in which a force is applied or exerted in the relationship between entities.
-
E.
controlledBySide2
Indicates that the object or resource is under the control, authority, or influence of the second party or side in a relationship or interaction.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.