Triple
T7729843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abd al-Qadir |
E175221
|
entity |
| Predicate | startOfMilitaryActivity |
P15394
|
FINISHED |
| Object | 1832 |
—
|
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: 1832 | Statement: [Abd al-Qadir, startOfMilitaryActivity, 1832]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfMilitaryActivity Context triple: [Abd al-Qadir, startOfMilitaryActivity, 1832]
-
A.
militaryActivity
Indicates that an entity is engaged in, associated with, or affected by actions, operations, or preparations conducted by armed forces.
-
B.
hasMilitarySignificanceSince
chosen
Indicates that something has held military importance or strategic value starting from a specified point in time.
-
C.
foreignMilitaryInterventionStart
Indicates the point in time when a foreign state's military forces begin intervening in another state's territory or conflict.
-
D.
wasMilitarizedDuring
Indicates that an entity transitioned to or adopted a military character, role, or control during a specified time period or event.
-
E.
beganCivilOperations
Indicates that an entity initiated or commenced civil (non-military) administrative or operational activities in relation to another entity or 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.