Triple
T16067077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SE Division |
E389760
|
entity |
| Predicate | coversDirection |
P20371
|
FINISHED |
| Object | southeast |
—
|
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: southeast | Statement: [SE Division, coversDirection, southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversDirection Context triple: [SE Division, coversDirection, southeast]
-
A.
containsDirectionOf
chosen
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
B.
coversRight
Indicates that one entity extends over, protects, or conceals the right side of another entity.
-
C.
coversSection
Indicates that one entity includes, addresses, or provides content for a particular section of another entity.
-
D.
coversMode
Indicates that one entity includes, addresses, or supports a particular mode or manner of operation associated with another entity.
-
E.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.