Triple
T16314632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IGN Top25 |
E396142
|
entity |
| Predicate | mapScaleDenominator |
P62522
|
FINISHED |
| Object | 25000 |
—
|
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: 25000 | Statement: [IGN Top25, mapScaleDenominator, 25000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapScaleDenominator Context triple: [IGN Top25, mapScaleDenominator, 25000]
-
A.
mapScale
chosen
Indicates the ratio between distances on a map and the corresponding actual distances in the real world.
-
B.
mapScaleCategory
Indicates the classification of a map based on its scale range or level of detail.
-
C.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
D.
distanceScaleRole
Indicates the role or function that a particular distance scale plays within a measurement, model, or spatial relationship.
-
E.
displacementScale
Indicates the proportional factor by which an object's displacement is scaled relative to its original or reference value.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.