Triple
T11331193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chimborazo |
E268346
|
entity |
| Predicate | reasonForFarthestPoint |
P98543
|
FINISHED |
| Object | Earth’s equatorial bulge |
—
|
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: Earth’s equatorial bulge | Statement: [Chimborazo, reasonForFarthestPoint, Earth’s equatorial bulge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForFarthestPoint Context triple: [Chimborazo, reasonForFarthestPoint, Earth’s equatorial bulge]
-
A.
reasonForLocation
Indicates the cause, purpose, or justification for why an entity is at a particular location.
-
B.
isMostDistantHumanMadeObject
Indicates that the subject is the human-made object currently farthest from Earth (or from its point of origin).
-
C.
nearestPointTo
Indicates the point that is closest in distance to a given reference point or object among a set of candidates.
-
D.
reasonForLatitude
Indicates that one factor or circumstance serves as the explanation or cause for a particular degree or extent of latitude (freedom, variation, or deviation) in a situation or condition.
-
E.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fd38308190a5458be1bfcc89ea |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.