Triple
T6509590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imagine Peace Tower |
E150092
|
entity |
| Predicate | heightOfLightBeam |
P7235
|
FINISHED |
| Object | up to 4000 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: up to 4000 meters | Statement: [Imagine Peace Tower, heightOfLightBeam, up to 4000 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfLightBeam Context triple: [Imagine Peace Tower, heightOfLightBeam, up to 4000 meters]
-
A.
lighthouseHeight
Indicates the vertical measurement of a lighthouse from its base to its top.
-
B.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
-
C.
lightPath
chosen
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
D.
flameHeight
Indicates the vertical extent or height reached by a flame during burning.
-
E.
focalPlaneHeight
Indicates the vertical distance or elevation of the focal plane relative to a defined reference level or surface.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f398f10819096342f3646cefcc2 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.