Triple
T11609424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Jasna Góra |
E275343
|
entity |
| Predicate | strengthAttackersApprox |
P47565
|
FINISHED |
| Object | about 3,000 Swedish troops |
—
|
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 3,000 Swedish troops | Statement: [Siege of Jasna Góra, strengthAttackersApprox, about 3,000 Swedish troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthAttackersApprox Context triple: [Siege of Jasna Góra, strengthAttackersApprox, about 3,000 Swedish troops]
-
A.
attackerStrength
chosen
Indicates the level or magnitude of power, force, or capability possessed by the attacking entity in a given interaction or scenario.
-
B.
totalStrength
Indicates the overall magnitude or combined level of strength associated with an entity or group of entities.
-
C.
strongerAt
Indicates that one entity has greater strength, power, or effectiveness than another in a specified context, condition, or domain.
-
D.
strongestIn
Indicates that one entity possesses the greatest strength or power within a specified group, context, or comparison set.
-
E.
opponentStrength
Indicates the level or degree of power, skill, or capability possessed by an opposing party in a competitive or adversarial context.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04231d08190b8a07cd977d11ffa |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.