Triple
T2830814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Meiktila and Mandalay |
E62229
|
entity |
| Predicate | hasCampaignType |
P672
|
FINISHED |
| Object | land campaign |
—
|
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: land campaign | Statement: [Battle of Meiktila and Mandalay, hasCampaignType, land campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampaignType Context triple: [Battle of Meiktila and Mandalay, hasCampaignType, land campaign]
-
A.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
-
B.
campaignType
chosen
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
C.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
D.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
E.
testCampaign
Indicates that an entity is involved in or associated with a campaign conducted for testing, experimentation, or evaluation purposes.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.