Triple
T4666156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moshe Aviv Tower |
E102850
|
entity |
| Predicate | heightToTip |
P38193
|
FINISHED |
| Object | approximately 244 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 244 meters | Statement: [Moshe Aviv Tower, heightToTip, approximately 244 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightToTip Context triple: [Moshe Aviv Tower, heightToTip, approximately 244 meters]
-
A.
locatedAtTipOf
Indicates that one entity is positioned at the extreme end or tip of another entity.
-
B.
heightEstimate
chosen
Indicates an estimated or approximate value for the height of an entity, rather than a precisely measured height.
-
C.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
D.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
E.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.