Triple
T28847601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Measurement of the Earth |
E728495
|
entity |
| Predicate | distanceSegment |
P7750
|
FINISHED |
| Object | Syene–Alexandria arc |
—
|
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: Syene–Alexandria arc | Statement: [On the Measurement of the Earth, distanceSegment, Syene–Alexandria arc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceSegment Context triple: [On the Measurement of the Earth, distanceSegment, Syene–Alexandria arc]
-
A.
distanceProvidedBy
Indicates that a specific distance value is supplied or made available by a particular source or provider.
-
B.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
C.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
D.
distance
chosen
Indicates the spatial separation or length between two points, objects, or locations.
-
E.
distanceOfCourse
Indicates the length or total distance covered by a course or route.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a0049e40d60819081e3899d8d9fca51 |
completed | May 10, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_6a0048c47b548190ad31b2901cc3784a |
completed | May 10, 2026, 8:58 a.m. |
Created at: April 28, 2026, 6:42 a.m.