Triple
T26295589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merdeka Square |
E661406
|
entity |
| Predicate | centralMonumentHeight |
P168569
|
FINISHED |
| Object | approximately 132 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 132 meters | Statement: [Merdeka Square, centralMonumentHeight, approximately 132 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralMonumentHeight Context triple: [Merdeka Square, centralMonumentHeight, approximately 132 meters]
-
A.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
B.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
C.
isTallestStructureIn
Indicates that the subject is the tallest structure located within the specified place or area.
-
D.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
E.
oneOfTallestStructuresIn
Indicates that an entity is among the tallest structures located within a specified place or region.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 26, 2026, 10:11 p.m.