Triple
T7928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American elm |
E156
|
entity |
| Predicate | typicalHeight |
P573
|
FINISHED |
| Object | 20–30 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: 20–30 meters | Statement: [American elm, typicalHeight, 20–30 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHeight Context triple: [American elm, typicalHeight, 20–30 meters]
-
A.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
typicalAnnouncementTime
Indicates the usual or standard time at which an announcement is made or expected to occur.
-
E.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a2407916ac8190b76d2e6690efaef3 |
completed | Feb. 28, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69a23fe3a87881909ab95bb3a0b474ec |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a240782e108190b6b60c26b84ae179 |
completed | Feb. 28, 2026, 1:10 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.