Triple
T34211113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trajan's Bridge |
E877658
|
entity |
| Predicate | pierHeight |
P178531
|
FINISHED |
| Object | approximately 45 meters |
—
|
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: approximately 45 meters | Statement: [Trajan's Bridge, pierHeight, approximately 45 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pierHeight Context triple: [Trajan's Bridge, pierHeight, approximately 45 meters]
-
A.
hasPierLength
Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
-
B.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
C.
hasNumberOfPiersInWater
Indicates the quantity of piers that extend into or are situated within a body of water.
-
D.
damHeight
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
-
E.
heightAboveGround
Indicates the vertical distance of an entity measured from the ground surface directly beneath it.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.