Triple
T2046669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tweebosch |
E45467
|
entity |
| Predicate | commandingForce1Strength |
P36038
|
FINISHED |
| Object | approximately 1,500 Boers |
—
|
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: approximately 1,500 Boers | Statement: [Battle of Tweebosch, commandingForce1Strength, approximately 1,500 Boers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandingForce1Strength Context triple: [Battle of Tweebosch, commandingForce1Strength, approximately 1,500 Boers]
-
A.
combatantStrength
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
-
B.
commandedForcesOf
Indicates that one entity held command authority over the military or armed forces associated with another entity.
-
C.
besiegingForce
Indicates a military group that is surrounding and attacking a target location or force in an attempt to capture or subdue it.
-
D.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
E.
garrisonedForce
Indicates that a military force is stationed in and occupies a specific location, typically for defense or control.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.