Triple
T145099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalcanal |
E2935
|
entity |
| Predicate | startOfMajorCampaign |
P5415
|
FINISHED |
| Object | 1942-08-07 |
—
|
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: 1942-08-07 | Statement: [Guadalcanal, startOfMajorCampaign, 1942-08-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfMajorCampaign Context triple: [Guadalcanal, startOfMajorCampaign, 1942-08-07]
-
A.
majorCampaignType
Indicates the primary category or classification of a campaign within a broader set of campaign types.
-
B.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
C.
partOfCampaign
Indicates that an entity participates in, belongs to, or is included within a specific campaign.
-
D.
majorCapturePhase
Indicates a significant or primary stage in a capture process where the main act of seizing, acquiring, or taking control occurs.
-
E.
notableCampaign
Indicates that an entity is prominently associated with a particular campaign, such as by leading, featuring in, or being a key focus of that campaign.
- F. None of above. chosen
Provenance (4 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257e935bc8190a03e54a10e9ba6f7 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a25656a4fc81908a87678ac3d28f93 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257101060819094db0f3a3a72f312 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.