Triple
T3373489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim Lodi |
E71008
|
entity |
| Predicate | militaryTacticsFaced |
P48051
|
FINISHED |
| Object | use of artillery by Babur |
—
|
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: use of artillery by Babur | Statement: [Ibrahim Lodi, militaryTacticsFaced, use of artillery by Babur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryTacticsFaced Context triple: [Ibrahim Lodi, militaryTacticsFaced, use of artillery by Babur]
-
A.
militaryTacticsUsed
Indicates that specific military tactics are employed or applied in the context of a particular operation, conflict, or strategic situation.
-
B.
militaryStrategy
Indicates a relationship where an entity plans, directs, or is associated with the organized use of armed forces and tactics to achieve military or defense objectives.
-
C.
specialForcesInvolved
Indicates that special forces units participate in or are involved in the referenced action, event, or operation.
-
D.
militaryContext
Indicates that the relationship or action occurs within a military setting, framework, or operational environment.
-
E.
tacticalOutcome
Indicates the specific result or consequence produced by a particular tactic or tactical action in a given situation.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bdcf70819087fc7e00fbd61e0d |
completed | March 8, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69adaa518ac88190b64f949ace018ab7 |
completed | March 8, 2026, 4:56 p.m. |
Created at: March 8, 2026, 3:13 p.m.