Triple
T601016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester, Georgia |
E11492
|
entity |
| Predicate | isInNorthernHemisphere |
P1889
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Manchester, Georgia, isInNorthernHemisphere, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNorthernHemisphere Context triple: [Manchester, Georgia, isInNorthernHemisphere, true]
-
A.
hasTropicOfCancerCrossing
Indicates that the specified entity is geographically intersected or crossed by the Tropic of Cancer.
-
B.
hasPeakUsageInHemisphere
Indicates that the time period of highest usage or activity for something occurs within a specified hemisphere (e.g., Northern or Southern).
-
C.
isSouthernmostLatitudeWhereSunCanBeOverhead
Indicates the southernmost latitude on Earth at which the Sun can appear directly overhead (at the zenith) at some time during the year.
-
D.
hasTropicOfCapricornCrossing
Indicates that the referenced geographic entity is intersected or crossed by the Tropic of Capricorn.
-
E.
hemispherePresence
chosen
Indicates the spatial relationship of whether and in which hemisphere(s) (e.g., northern, southern, eastern, western) an entity is present or occurs.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49cf701e08190966d06b9ff4b582b |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.