Triple
T2542731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Drogheda |
E57820
|
entity |
| Predicate | hasAttackerStrengthApprox |
P2981
|
FINISHED |
| Object | about 10,000 to 12,000 men |
—
|
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: about 10,000 to 12,000 men | Statement: [Siege of Drogheda, hasAttackerStrengthApprox, about 10,000 to 12,000 men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAttackerStrengthApprox Context triple: [Siege of Drogheda, hasAttackerStrengthApprox, about 10,000 to 12,000 men]
-
A.
hasDefenderStrength
Indicates that an entity possesses a certain level or measure of defensive capability or protective power.
-
B.
mainAttacker
Indicates that an entity is the primary or leading aggressor responsible for initiating or carrying out an attack against another entity.
-
C.
opponentStrength
Indicates the level or degree of power, skill, or capability possessed by an opposing party in a competitive or adversarial context.
-
D.
isStrongerThan
Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
-
E.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bf6cac819083a9ab9d041d8641 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.