Triple
T26309211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaysh al-‘Usrah |
E661771
|
entity |
| Predicate | hasTypeOfCampaign |
P108935
|
FINISHED |
| Object | military expedition |
—
|
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: military expedition | Statement: [Jaysh al-‘Usrah, hasTypeOfCampaign, military expedition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfCampaign Context triple: [Jaysh al-‘Usrah, hasTypeOfCampaign, military expedition]
-
A.
belongsToCampaignType
chosen
Indicates that something is associated with or classified under a specific campaign type.
-
B.
hasCampaignName
Indicates that an entity is associated with a specific campaign identified by a particular name.
-
C.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
D.
testCampaign
Indicates that an entity is involved in or associated with a campaign conducted for testing, experimentation, or evaluation purposes.
-
E.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 26, 2026, 10:21 p.m.