Triple
T38353248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayu Peninsula |
E1046252
|
entity |
| Predicate | campaignsOccurredIn |
P159670
|
FINISHED |
| Object | Arakan Campaign |
—
|
NE NERFINISHED |
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: Arakan Campaign | Statement: [Mayu Peninsula, campaignsOccurredIn, Arakan Campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignsOccurredIn Context triple: [Mayu Peninsula, campaignsOccurredIn, Arakan Campaign]
-
A.
conductedCampaignsIn
Indicates that an entity organized or carried out campaigns within a specified location or region.
-
B.
campaignHeldIn
chosen
Indicates that a campaign takes place or is conducted within a specified location or venue.
-
C.
campaignsCovered
Indicates that one entity (such as a report, dataset, or analysis) includes or accounts for specific campaigns within its scope or coverage.
-
D.
numberOfCampaigns
Indicates the total count of campaigns associated with or involved in a given entity or context.
-
E.
continuedCampaignsOf
Indicates that one campaign is a direct continuation or follow-up of another campaign, extending its efforts or objectives over time.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.