Triple
T15494882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabia Eudokia |
E378790
|
entity |
| Predicate | elevationToAugusta |
P118468
|
FINISHED |
| Object | c. 610 |
—
|
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: c. 610 | Statement: [Fabia Eudokia, elevationToAugusta, c. 610]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationToAugusta Context triple: [Fabia Eudokia, elevationToAugusta, c. 610]
-
A.
damCrestElevation
Indicates the height of the top (crest) of a dam above a specified reference level, typically sea level.
-
B.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
elevationAboveTown
Indicates that one location is situated at a higher elevation relative to a specified town.
-
D.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
E.
upperStationElevation
Indicates the elevation or height above a reference level (e.g., sea level) of the upper station in a system or structure.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:51 a.m.